TogetherAI - Detailed Review
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TogetherAI - Product Overview
Together AI Overview
Together AI is a cloud-based platform that specializes in the development, deployment, and optimization of artificial intelligence (AI) models. Here’s a brief overview of its primary function, target audience, and key features:
Primary Function
Together AI is focused on providing a comprehensive suite of tools for building, training, and deploying AI models. It leverages advanced algorithms and machine learning techniques to streamline the process of creating and utilizing AI solutions, making it accessible to a wide range of users.
Target Audience
The platform caters to a diverse group of users, including:
- Researchers and Data Scientists: Ideal for those developing and training AI models for research projects.
- Software Developers: Useful for integrating AI capabilities into software applications.
- Startups and Entrepreneurs: Provides a cost-effective way to access AI technology for innovation.
- Enterprises: Helps large enterprises build custom AI models tailored to their specific needs.
- Students and Educators: Serves as a learning tool for those interested in AI technology.
Key Features
- Open-Source Generative AI: Together AI is built on open-source principles, allowing users to access and modify the code behind their AI models. This fosters collaboration and innovation within the AI community.
- Cloud-Based Platform: Hosted in the cloud, the platform offers scalability and flexibility, enabling users to work on AI projects of any size and collaborate easily.
- Model Training and Deployment: Users can train AI models using state-of-the-art algorithms and deploy them in various environments, including cloud hosting, on-premises deployment, and edge computing.
- Collaboration Tools: The platform includes features for team collaboration, such as sharing data sets, models, and experiments, along with version control and project management tools.
- Monitoring and Optimization: Together AI provides tools for monitoring and optimizing AI model performance in real-time, ensuring high accuracy and efficiency.
- Integration with Third-Party Tools: The platform integrates with various third-party tools and services, making it easy to incorporate external resources into AI projects.
- GPU Compute Resources: Users have access to high-performance GPU servers, which are essential for running compute-intensive AI workloads.
Overall, Together AI is positioned to revolutionize AI development by making it more accessible, collaborative, and efficient for a broad range of users.
TogetherAI - User Interface and Experience
User Interface of Together AI
The user interface of Together AI is crafted with a strong focus on usability and user experience, making it accessible and intuitive for a wide range of users.
Intuitive Interface
Together AI boasts an intuitive interface that is user-friendly, even for those who may not have extensive technical backgrounds. The platform is designed to be easy to navigate, with clear and simple menus and tools that help users quickly find what they need.
Collaboration Tools
The interface includes robust collaboration tools that allow teams to work together seamlessly on AI projects. Users can share data sets, models, and experiments with team members, and the platform provides version control and project management features to keep teams organized and efficient.
Customization Options
Users have the flexibility to customize the platform according to their specific requirements. This includes choosing different AI algorithms and customizing the user interface to create a personalized AI development environment. Such customization options enhance the overall user experience by allowing users to work in a setting that is most comfortable and productive for them.
Real-Time Communication and Task Management
The platform offers real-time communication tools and task management features, which facilitate smooth collaboration among team members. These tools ensure that all stakeholders are on the same page and can work together effectively on AI projects.
Integration with Other Tools
Together AI integrates with a wide range of third-party tools and services, making it easy for users to incorporate external resources into their AI projects. This seamless integration streamlines the development workflow and expands the capabilities of AI models, enhancing the overall user experience.
Monitoring and Optimization
The platform provides monitoring and optimization tools that allow users to track the performance of their AI models in real-time. This includes insights into model accuracy, latency, and resource utilization, helping users make informed decisions to improve model performance. This feature ensures that users can optimize their models efficiently, which is crucial for maintaining high performance and reliability.
Accessibility and Scalability
Together AI is hosted in the cloud, providing users with the scalability and flexibility they need to work on AI projects of any size. This cloud-based infrastructure ensures that the platform can adapt to the evolving needs of users, whether they are from small startups or large enterprises.
Conclusion
In summary, the user interface of Together AI is designed to be intuitive, collaborative, and highly customizable, making it easy for users to develop, train, and deploy AI models efficiently. The platform’s focus on user experience ensures that users can work comfortably and productively, leveraging the full potential of AI technology.
TogetherAI - Key Features and Functionality
Together AI Overview
Together AI is a comprehensive platform that leverages artificial intelligence to enhance collaboration, productivity, and the development of AI models. Here are the main features and functionalities of Together AI:
Model Training
Together AI allows users to train AI models using their own data sets. The platform provides tools for data preprocessing, model selection, hyperparameter tuning, and evaluation. This enables users to create high-performing AI models using state-of-the-art algorithms and techniques.
Model Deployment
Once a model is trained, Together AI facilitates its deployment in various environments, including cloud hosting, on-premises deployment, and edge computing. This makes it easy to integrate AI models into existing applications and systems.
Collaboration Tools
The platform offers collaboration tools that enable teams to work together on AI projects. Users can share data sets, models, and experiments with team members, and the platform provides version control and project management features to keep teams organized and efficient.
Monitoring and Optimization
Together AI includes monitoring and optimization tools to ensure the performance of AI models. Users can track model performance in real-time, identify issues, and optimize models for better results. The platform provides insights into model accuracy, latency, and resource utilization.
Fine-Tuning
Users can fine-tune leading open-source models with their private data to achieve greater accuracy for specific tasks. This feature supports various models, including LLaMA-2 and RedPajama, and is particularly useful for customizing AI models to meet specific needs.
AI Inference
Together AI offers one of the fastest AI inference stacks available, ensuring quick and efficient processing of AI tasks. This service is scalable, cost-efficient, and reliable, making it suitable for large-scale deployments.
GPU Clusters
The platform provides high-performance GPU clusters equipped with top-tier hardware like NVIDIA A100 and H10 GPUs. These clusters are used for large-scale training and fine-tuning of AI models, ensuring optimal performance and scalability.
Integration with Third-Party Tools
Together AI integrates with a wide range of third-party tools and services, including popular libraries, frameworks, and APIs. This integration streamlines the development workflow and expands the capabilities of AI models.
Real-Time Communication and Task Management
The platform offers real-time communication and task management tools to streamline teamwork. These features help teams stay connected and manage tasks efficiently, enhancing overall productivity.
Data Analysis Tools
Together AI provides data analysis tools that help users analyze and interpret data related to their AI models. This includes tools for tracking performance metrics and making informed decisions to improve model performance.
Community Contributions
Users can contribute feedback, suggestions, and content to the platform, fostering a sense of community and improving the overall user experience. This community engagement helps in continuously enhancing the platform’s features and services.
Conclusion
In summary, Together AI is a versatile platform that combines advanced AI capabilities with collaborative tools and efficient deployment options, making it a valuable resource for developers, data scientists, and businesses looking to leverage AI technology.
TogetherAI - Performance and Accuracy
Performance
Together AI’s Inference Engine is notably advanced in terms of performance. It boasts a decoding throughput that is four times faster than the open-source vLLM and surpasses leading commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI by 1.3x to 2.5x.
- The Together Inference Engine can process over 400 tokens per second on Meta Llama 3 8B, making it one of the fastest engines for Nvidia GPUs.
- It integrates innovations such as FlashAttention-3, faster GEMM and MHA kernels, quality-preserving quantization, and speculative decoding techniques like Medusa and Sequoia. These advancements ensure high performance while maintaining model accuracy even at lower precision.
Accuracy
Accuracy is a critical aspect, especially in applications where factual accuracy is paramount. Together AI’s models and inference engine are optimized to maintain high accuracy:
- The use of quality-preserving quantization ensures that the performance and accuracy of models are maintained even when operating at lower precision.
- For multi-turn conversations, Together AI provides fine-tuning APIs that help in structuring datasets to capture the back-and-forth nature of dialogue, ensuring the model generates appropriate responses rather than memorizing entire conversations.
Limitations and Areas for Improvement
While Together AI’s technology is highly advanced, there are some limitations and areas that require attention:
- Truthfulness vs. Utility: In scenarios where AI agents need to balance truthfulness with achieving specific goals, Together AI’s models, like other LLMs, often struggle. Studies have shown that these models are truthful less than 50% of the time when their goals conflict with being truthful.
- Mixture of Agents: Using a mixture of agents can be slower and more expensive than using a single model, especially in real-time processing. However, Together AI is working on improving the efficiency of these systems through techniques like Flash Attention.
Engagement
For engagement, Together AI’s fast inference engine and optimized models help in providing a smoother and more responsive user experience. This is particularly important in applications requiring high-speed interactions, such as real-time chatbots or virtual assistants.
In summary, Together AI’s performance is exceptional, with significant advancements in inference speed and accuracy. However, there are ongoing challenges related to balancing truthfulness with utility in certain scenarios, and the efficiency of using multiple agents in real-time applications.
TogetherAI - Pricing and Plans
Pricing Structure
Together AI’s pricing is primarily based on the usage of their AI models, particularly focusing on inference and hosting costs.
Inference Pricing
- The cost is determined by the model size and the number of tokens used. Here is a breakdown of the prices per 1,000 tokens:
- Up to 3B parameters: $0.0001 per 1K tokens
- 3.1B – 7B parameters: $0.0002 per 1K tokens
- 7.1B – 20B parameters: $0.0004 per 1K tokens
- 20.1B – 40B parameters: $0.001 per 1K tokens
- 40.1B – 70B parameters: $0.003 per 1K tokens
Hosting Fees
- For models that you fine-tune and host on their platform, there is an additional hourly hosting fee.
- For models up to 3B and 3.1B – 7B parameters, the hosting fee is $0.52 per hour. Hosting fees for larger models (7.1B – 20B, 20.1B – 40B, and 40.1B – 70B) are listed as “Coming soon”.
Image Models
- Pricing for image models is based on the image size and the number of steps:
- Up to 300 kilopixels (512 x 512): $0.001 for 25 steps, $0.002 for 50 steps, $0.0035 for 75 steps, and $0.005 for 100 steps
- Up to 1.1 megapixels (1024 x 1024): $0.01 for 25 steps, $0.02 for 50 steps, $0.035 for 75 steps, and $0.05 for 100 steps.
Free Options and Trials
- New users can start with a free trial that includes $25 in free credits to explore the platform’s capabilities without any initial cost.
Subscription Plans
- While the detailed tiered subscription plans are not explicitly outlined, Together AI offers various tiers ranging from basic to enterprise levels. These plans are designed to cater to different user needs, from individual developers to large enterprises.
Additional Costs
- Additional usage beyond the contracted units will incur extra costs, which are charged based on your usage. However, specific details on these additional costs are limited in the provided sources.
For the most accurate and up-to-date pricing information, it is recommended to visit the official Together AI website or their pricing page.
TogetherAI - Integration and Compatibility
Together AI Integration and Compatibility
Together AI integrates seamlessly with various tools and platforms, ensuring compatibility and flexibility for its users. Here are some key points on its integration and compatibility:Compatibility with OpenAI SDK
Together AI’s API is fully compatible with the OpenAI SDK, making it easy to switch between the two platforms. You can use your Together API key and adjust the `base_url` to `https://api.together.xyz/v1` to integrate with Together AI, leveraging the same interface and functionality as OpenAI.Deployment Options
The Together Enterprise Platform offers flexible deployment options, allowing you to run your AI workloads in various environments. You can deploy on Together’s serverless cloud, dedicated GPU endpoints on Together’s Cloud, or within your own Virtual Private Cloud (VPC) or on-premise infrastructure. This flexibility supports all major cloud providers, including AWS, Azure, GCP, and OCI.Integration with Other Tools and Platforms
Together AI can be integrated with other tools and platforms such as Weave, where you can use the `together` Python package, although full Weave support is currently in development. The integration with Weave allows for automatic detection and integration with the OpenAI SDK compatibility.Example with Vertesia
With Vertesia, Together AI provides a fully integrated inference provider and execution environment. This integration supports features like fine-tuning models with your data, portable task models, a single execution interface, and a virtualization layer to integrate different models and providers into a single environment.Enterprise-Grade Security and Compliance
Together AI adheres to enterprise-grade security standards, including end-to-end encryption for all data, both in transit and at rest. It is compliant with major industry standards such as SOC 2, GDPR, and HIPAA, ensuring maximum security and privacy for your data and models across all deployment options.Model Support and Fine-Tuning
Together AI supports over 200 open-source and custom models, including chat, multimodal, embeddings, rerank, and code models. You can fine-tune these models using your proprietary data and maintain ownership of your custom models. The platform also allows for continuous model optimization through advanced techniques like auto fine-tuning and adaptive speculators.Conclusion
In summary, Together AI’s compatibility and integration capabilities make it a versatile and secure choice for managing and deploying generative AI models across various platforms and environments. TogetherAI - Customer Support and Resources
Customer Support and Resources from Together AI
When you are looking for customer support and additional resources from Together AI, here are the options and resources available to you:
Contact Options
Together AI provides several ways to get in touch with their team, depending on your needs:
- Contact Sales: If you have inquiries about their products and solutions, you can connect directly with the Sales Team.
- Contact Support: For any issues or questions, the support team is available to help. This is the best option if you are experiencing problems or need immediate assistance.
- Other Inquiries: For non-support related questions or feedback, you can use a dedicated form to connect with the appropriate team.
Resources and Documentation
Together AI offers various resources to help you get the most out of their platform:
- Blog and Case Studies: The Together AI blog features articles on how to use their API and integrate it with other frameworks, such as the example of building multi-agent chat using Axiomic’s GEAR Chat demo. These articles provide practical insights and use cases.
- Technical Specifications and Features: The website details the technical specifications of their platform, including support for over 200 open-source models, GPU infrastructure, and advanced networking. This information is helpful for developers and businesses looking to integrate AI models into their applications.
Platform Capabilities
Together AI’s platform is equipped with features that support the entire AI lifecycle:
- Inference: You can run AI models on serverless or dedicated instances, with options for different performance levels (Turbo, Reference, Lite) to balance speed and cost.
- Fine-Tuning: The platform allows you to customize models using your proprietary data while maintaining full ownership of the models. This includes full fine-tuning and LoRA fine-tuning options.
- GPU Clusters: For large-scale AI workloads, Together AI offers GPU clusters with high-performance GPUs, enabling accelerated model training.
Use Cases
The platform is versatile and can be used for various AI-driven applications, including:
- Enterprise AI Application Development: Building and deploying AI models for enterprise use cases.
- Custom Model Training: Training models from scratch using multiple architectures.
- High-Performance Inference: Running AI models with high speed and efficiency.
- Research and Development: Supporting research projects with advanced AI capabilities.
By leveraging these resources and support options, you can effectively utilize Together AI’s platform to meet your AI development and deployment needs.
TogetherAI - Pros and Cons
Advantages
Speed and Efficiency
Together AI boasts the fastest inference stack, allowing for quick API calls and significantly faster inference times compared to traditional AI services. This is enhanced by proprietary technologies like FlashAttention-2 and Monarch Mixer architectures.
Customization and Fine-Tuning
Users can train their own generative AI models using their private data, and build state-of-the-art models from scratch. This flexibility is further supported by access to leading open-source models like Llama-3, RedPajama, and Stable Diffusion XL.
Scalability
The platform automatically scales to meet the API request volume as the application grows, ensuring high availability and performance. It also offers serverless endpoints and dedicated instances with customizable hardware configurations.
Cost-Effectiveness
Together AI is 6x lower in cost compared to GPT 3.5 Turbo when using Llama2-13B, making high-performance AI more accessible.
Multi-Agent Capabilities
Together AI supports multi-agent workflows and applications, such as the integration with Axiomic’s framework to build multi-agent chat systems. This allows for more sophisticated and coordinated AI interactions.
Strong Community and Support
The platform offers robust documentation, active community forums, and various support channels, including email, in-app chat, and premium support via private Slack channels for higher-tier plans.
Disadvantages
Complex Setup and Maintenance
Configuring, managing, and scaling the cloud infrastructure on Together AI can be complex, especially for beginners. The advanced settings may overwhelm new users.
Resource Intensity
The platform requires substantial computational resources for optimal use, which can be a significant drawback for those with limited resources.
Limited Language Support
Together AI primarily supports English, which may limit its use in multilingual applications.
Advanced Learning Curve
While the platform offers extensive tutorials and support, the advanced features and settings can still be challenging for new users to learn and manage.
These points highlight the key benefits and challenges associated with using Together AI, helping you make an informed decision about whether it suits your AI development and deployment needs.
TogetherAI - Comparison with Competitors
Unique Features of Together AI
Together AI stands out for its commitment to open-source generative AI models and its cloud-based infrastructure. Here are some of its distinctive features:Open-Source Generative AI
Together AI provides a platform for constructing and customizing open-source generative AI models, allowing users to access and modify the underlying code. This flexibility is a significant advantage for developers and businesses looking for customizable AI solutions.Comprehensive Toolset
The platform offers a range of tools for data preprocessing, model training, and deployment, streamlining the entire AI development process. This includes pre-trained models and data visualization tools, making it easier for users to build and deploy AI models.Scalability
Together AI’s cloud-based platform is highly scalable, allowing users to easily scale their AI projects from small-scale experiments to large-scale production deployments without needing extensive infrastructure or technical expertise.Competitors and Alternatives
Argilla
Argilla is an open-source data curation platform focused on improving Large Language Models (LLMs). It provides tools for data labeling and model training, which can be seen as complementary to Together AI’s model development capabilities. Argilla’s focus on data curation sets it apart, especially for users needing robust data preparation tools.Aleph Alpha
Aleph Alpha specializes in generative AI technology for enterprises and governments. Like Together AI, it offers advanced AI models, but Aleph Alpha’s solutions are more geared towards large-scale enterprise and government applications. Aleph Alpha’s models are known for their high performance and security features.Vertex AI
Vertex AI, offered by Google, is a managed machine learning platform that helps users build, train, and deploy ML models efficiently. It includes a unified UI for the entire ML workflow and a cloud-based IDE called Vertex AI Workbench. Vertex AI is a strong alternative for those looking for a more integrated and managed ML environment, especially within the Google Cloud ecosystem.Amazon SageMaker
Amazon SageMaker is a fully managed service that simplifies the machine learning process by combining all necessary tools into a single platform. It allows data scientists and developers to quickly build, train, and deploy ML models. SageMaker is a good option for those already invested in the AWS ecosystem and looking for a comprehensive ML toolset.Klu
Klu.ai is a generative AI platform that simplifies the design, deployment, and optimization of AI applications. It integrates with various Large Language Models and provides tools for rapid prompt and model experiments, data collection, and user feedback. Klu is a good choice for those needing to integrate multiple LLMs and optimize their performance cost-effectively.Nscale
Nscale is a hyperscaler engineered for AI, offering high-performance computing optimized for training, fine-tuning, and handling intensive AI workloads. It provides access to thousands of GPUs and a fully integrated platform for efficient and scalable model deployment. Nscale is ideal for users requiring high-performance computing resources for their AI projects.Conclusion
Together AI’s unique strengths in open-source generative AI, comprehensive toolsets, and scalability make it a compelling choice for businesses and developers. However, depending on specific needs, alternatives like Vertex AI, Amazon SageMaker, Klu, and Nscale offer different advantages such as managed ML environments, high-performance computing, and integrated toolsets. Each of these alternatives can be considered based on the specific requirements and ecosystem preferences of the user. TogetherAI - Frequently Asked Questions
Frequently Asked Questions about Together AI
Q: What models are available on the Together AI platform?
Together AI offers over 50 open-source models, including RedPajama, Llama 2, Falcon, and many more. These models span various categories such as chat, language, code, and image models.Q: How is pricing structured for inference on Together AI?
The pricing for inference is based on the number of tokens used. For example, for models up to 3 billion parameters, the cost is $0.0001 per 1,000 tokens. The prices vary based on the model size, with larger models costing more per token. Additionally, there is an hourly hosting fee for fine-tuned models when you launch your inference VM.Q: What are the benefits of using Together AI for multi-agent workflows?
Together AI’s platform is optimized for multi-agent workflows, allowing users to leverage multiple models with industry-leading performance. The integration with frameworks like Axiomic makes it easy to build and evaluate multi-agent applications, such as the GEAR Chat demo, which demonstrates how multiple agents can work together seamlessly.Q: How does Together AI optimize performance and cost efficiency?
Together AI’s research team has developed innovations like batching techniques (FlexGen) and algorithms (FlashAttention-2) that significantly optimize the inference stack. This optimization allows for faster performance, enabling more transactions per GPU, which in turn reduces costs. Recent updates have led to up to a 5x price reduction for inference.Q: What support and resources are available for users of Together AI?
Together AI provides various support options, including email and in-app chat support. For users on the “Scale” and “Enterprise” plans, there is also premium support via a private Slack channel. Additionally, users have access to a monitoring dashboard and can deploy on-demand dedicated endpoints with no daily rate limits.Q: Can I fine-tune and host my own models on Together AI?
Yes, you can fine-tune and host your own models on the Together AI platform. The pricing for fine-tuning is based on model size, dataset size, and the number of epochs. Once fine-tuned, you can deploy the model instantly and pay an hourly hosting fee for the GPU endpoints.Q: What are the different plans available for using Together AI?
Together AI offers several plans, including “Build,” “Scale,” and “Enterprise.” The “Build” plan is suitable for getting started with fast inference and no daily rate limits. The “Scale” plan is for scaling production traffic with reserved GPUs and advanced configurations. The “Enterprise” plan includes private deployments, custom rate limits, and enterprise-grade security and compliance.Q: How does Together AI ensure scalability and reliability?
Together AI’s platform is built to scale horizontally, ensuring high performance even with increased traffic. The platform offers dedicated endpoints with up to 99.9% availability SLA and geo redundancy for enterprise users. This ensures reliable and scalable operations for large-scale applications.Q: Are there any specific tools or frameworks that integrate well with Together AI?
Yes, Together AI integrates well with frameworks like Axiomic, which is used for building multi-agent workflows. Axiomic makes it easy to evaluate and deploy multiple models provided by Together AI, enhancing the development process for AI applications.Q: What kind of security and compliance does Together AI offer?
Together AI provides enterprise-grade security and compliance, including HIPAA compliance for the “Scale” and “Enterprise” plans. The “Enterprise” plan also includes VPC deployment and custom regions, ensuring high levels of security and compliance for sensitive data.Q: Can I get started with Together AI for free?
Yes, new users can get started with $25 in free credits to explore the platform. This allows you to run more efficient inference with the Playgrounds and APIs before committing to a paid plan.