Open Code LLMs for Code Understanding and Generation.
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Cohere provides access to advanced Large Language Models and NLP tools.
A8e70ca5a9942e399a04543b16dff92c65bd6a94b4a8fe97253e51bfff480743.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
Open source web crawler built for extracting clean website data for AI and LLM workflows.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.
Track real-time GPU and LLM pricing across all cloud and inference providers.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
Dominodatalab supports deploying, serving, monitoring, or operating AI and machine-learning systems.
LLM Agent, GenAI Agent, AI Service, Framework, Python, Chatbots, RAG, Agentic Framework.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Talk by Princeton professor Arvind Narayanan.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Explore Clinical & Biomedical Language Models provides machine-learning models, research, training resources, or evaluation tools.
Quickly understand inscrutable LLM frameworks by intercepting API calls.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
written by Konstantinos E. Nikolakakis, George Chantzialexiou, Dionysis Kalogerias.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".