Release v0.32.14 · ollama/ollama
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. - Release v0.32.14 · ollama/ollama
Source feed
965 items
The world's AI knowledge in one place. AI RSS feed aggregator monitoring OpenAI, Anthropic, Google AI, Meta, Hugging Face. Tutorials, news, and insights — as they happen.
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. - Release v0.32.14 · ollama/ollama
Here's how to be the Data Scientist who thrives in a world where coding is a commodity.
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. - Release v0.32.12 · ollama/ollama
How Python does AI: agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end. - Release v2.31.0 (2026-08-14) · pydantic/pydantic-ai
I still have quite a bit of older content on my blog that I never got round to tagging. My blog has 1,856 tags - likely too many to feed …
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. - Release v0.32.13 · ollama/ollama
The agent engineering platform. Contribute to langchain-ai/langchain development by creating an account on GitHub.
The agent engineering platform. Contribute to langchain-ai/langchain development by creating an account on GitHub.
In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite multi-turn reward for Amazon Nova Forge, execute model-generated code safely inside it, and instrument each...
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the model best suited to its job. This post also shows how to get token-level...
Entities: OpenAI
Watch as Equity unpacks Meta’s Glimmer release and “AI for everyone” vision, the rising costs of AI data centers, Joby’s defense push, and a $250M acquisition that collapsed into allegations of fraud.