LLMs
However development time, and maintenance can offset these savings. Hiring skilled data scientists, machine learning engineers, and DevOps professionals can be expensive and time consuming. Using available resources for “reimplementing” solutions hinder innovation and lead to a lack of focus. Since You not longer work on improving your model or... See more
Understanding the Cost of Generative AI Models in Production
Announcing Together Inference Engine – the fastest inference available
November 13, 2023・By Together
The Together Inference Engine is multiple times faster than any other inference service, with 117 tokens per second on Llama-2-70B-Chat and 171 tokens per second on Llama-2-13B-Chat
Today we are announcing Together Inference Engine, the world’s... See more
November 13, 2023・By Together
The Together Inference Engine is multiple times faster than any other inference service, with 117 tokens per second on Llama-2-70B-Chat and 171 tokens per second on Llama-2-13B-Chat
Today we are announcing Together Inference Engine, the world’s... See more
Announcing Together Inference Engine – the fastest inference available
The xAI PromptIDE is an integrated development environment for prompt engineering and interpretability research. It accelerates prompt engineering through an SDK that allows implementing complex prompting techniques and rich analytics that visualize the network's outputs. We use it heavily in our continuous development of Grok.
PromptIDE
First time here? Go to our setup guide
Features
Features
- 🤖 Multiple model integrations: OpenAI, transformers, llama.cpp, exllama2, mamba
- 🖍️ Simple and powerful prompting primitives based on the Jinja templating engine
- 🚄 Multiple choices, type constraints and dynamic stopping
- ⚡ Fast regex-structured generation
- 🔥 Fast JSON generation following a JSON schema
outlines-dev • GitHub - outlines-dev/outlines: Neuro Symbolic Text Generation
- Self-play is the idea that an agent can improve its gameplay by playing against slightly different versions of itself because it’ll progressively encounter more challenging situations. In the space of LLMs, it is almost certain that the largest portion of self-play will look like AI Feedback rather than competitive processes.
Nathan Lambert • The Q* hypothesis: Tree-of-thoughts reasoning, process reward models, and supercharging synthetic data
The OpenAI Assistants API offers more than a simple prompt-sharing interface; it provides a sophisticated framework for AI interactions. It allows for persistent conversation sessions with automatic context management (Threads), structured interactions (Messages and Runs), integration with various tools for enhanced capabilities, customization... See more
Discord - A New Way to Chat with Friends & Communities
Generative AI can automate simple tasks
By automating simpler, tedious tasks (generating boilerplate code, fixing linter errors, generating unit tests, etc.), generative AI can help engineers focus on more complex tasks.
Generative AI can improve quality & reliability
Since generative AI models are trained on large codebases, they have the potential... See more
By automating simpler, tedious tasks (generating boilerplate code, fixing linter errors, generating unit tests, etc.), generative AI can help engineers focus on more complex tasks.
Generative AI can improve quality & reliability
Since generative AI models are trained on large codebases, they have the potential... See more
Adam Huda • The Transformative Power of Generative AI in Software Development: Lessons from Uber's Tech-Wide Hackathon
Developers can now generate human-quality speech from text via the text-to-speech API. Our new TTS model offers six preset voices to choose from and two model variants, tts-1 and tts-1-hd . tts is optimized for real-time use cases and tts-1-hd is optimized for quality. Pricing starts at $0.015 per input 1,000 characters. Check out our TTS guide to... See more
New models and developer products announced at DevDay
MLServer aims to provide an easy way to start serving your machine learning models through a REST and gRPC interface, fully compliant with KFServing's V2 Dataplane spec. Watch a quick video introducing the project here.
- Multi-model serving, letting users run multiple models within the same process.
- Ability to run inference in parallel for vertical