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A clearer picture is starting to come into focus.

Gemini 1.5 delivers dramatically enhanced performance, with a breakthrough in long-context understanding across modalities.

How does it compare to ChatGPT4?

Gemma is a family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models.

lightweight, standalone C++ inference engine for Google's Gemma models. - google/gemma.cpp

Mistral AI is launching a new flagship large language model called Mistral Large. It is designed to rival other top-tier models like GPT-4.

Mistral Large is our flagship model, with top-tier reasoning capacities. It is also available on Azure.

DSPy: The framework for programming—not prompting—language models - stanfordnlp/dspy

Twenty petaflops of AI performance, says Nvidia.

Grok open release. Contribute to xai-org/grok-1 development by creating an account on GitHub.

We write your reusable computer vision tools. 💜. Contribute to roboflow/supervision development by creating an account on GitHub.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers

Nerfstudio Documentation

This app displays the LMArena leaderboard in a full‑screen view, letting you see the latest rankings of language models at a glance. Just open the page and the leaderboard loads automatically—no in...

OpenAI is expanding a program, Custom Model, to help enterprise customers develop tailored generative AI models using its technology for specific use cases, domains and applications.

From AI-generated music and grant applications to neat new fintech applications and even some healthtech work, there was something for everyone.

LLM training in simple, raw C/CUDA. Contribute to karpathy/llm.c development by creating an account on GitHub.