Best learning resources for AI
Genkit is an open-source framework that helps JavaScript / TypeScript devs add server-side AI features with Vertex AI and other LLMs.
An open-source, Ray-based framework for scalable Reinforcement Learning from Human Feedback (RLHF).
Next.js-based open-source chat platform with plugin marketplace.
This paper presents DeepSeek-V2, a 236B-parameter open-source Mixture-of-Experts (MoE) language model that activates only 21B parameters per token, achieving top-tier bilingual (English and Chinese) performance with remarkable training cost savings (42.5%) and inference efficiency (5.76× throughput) compared to previous models. Its innovations—Multi-head Latent Attention (MLA) and DeepSeekMoE—reduce memory bottlenecks and boost specialization. The paper’s impact lies in advancing economical, efficient large-scale language modeling, pushing open-source models closer to closed-source leaders, and paving the way for future multimodal and AGI-aligned systems.
An integration & tooling platform that equips AI agents and LLM apps with 300-plus pre-built, authenticated tools and event triggers.
Run SQL over files, apps and 40+ Services, plus expose the engine to LLMs through MCP or a MySQL-compatible wire protocol.
Lightning-fast engine that lets you serve any AI model—LLMs, vision, audio—at scale with zero YAML and automatic GPU autoscaling.
Witsy is a desktop AI assistant that aggregates models from major providers and local Ollama servers behind one shortcut.
LangGraph is LangChain’s open-source orchestration framework that lets you compose long-running, stateful LLM agents as graphs of nodes and edges.
AI operating system that turns any LLM into a stateful agent with long-term memory.
Pythonic framework to inject experimental KV-cache optimizations into HuggingFace Transformers stacks.
Screen-parsing module from Microsoft Research that converts UI screenshots into structured elements for vision-based GUI agents.
