Heads-up for developers trying gpt-oss: performance and correctness can vary a bit across providers and runtimes right now due to implementation differences. We’re working with inference providers to make sure gpt-oss performs at its best everywhere, and we’d love your feedback!
LLMS
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Tool Calling in Open Models: Passing Reasoning Back with Results
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Tip for developers testing function calling: In these open models, tool calling is part of the chain-of-thought. When the model calls a tool, keep in mind you need to pass that reasoning back when sending the tool’s result.
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LLM Apps Repository for Building AI Agents and RAG
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Awesome LLM Apps Repo for building AI Agents and RAG Apps 55k+ stars and counting
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Major AI Model Releases: GPT-OSS, Claude Opus, Genie 3
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This week is shaping up to be a crazy week… We've already gotten:
– OpenAI's GPT-OSS open-weight model
– Anthropic's Claude Opus 4.1
– DeepMind's Genie 3
– ElevenLabs' new music generation Model
– Grok Making NSFW AI Videos
– A new image model from Qwen …And Sam Altman -
GPT-OSS Demo: Local Laptop Execution with Tools and Game Coding
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Watch @DKundel and @zhuohan123 bring gpt-oss to life: running locally on a laptop, calling tools, and coding a game entirely offline with the Codex CLI. Fun to be behind the scenes for this one as the demos came together on Sunday!
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PyTorch Team Shows Efficient Llama Training Methods
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Yes I know. We helped show the PyTorch team how to train Llama efficiently – they have a whole GPU Mode talk about it. These issues do not at all line with your claims however.
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Why Bigger Isn’t Always Better in AI: LLMs vs SLMs
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💡 Why Bigger Isn’t Always Better in AI
— Dr. Debashis Dutta (@debashis_dutta) 5 août 2025
🔎 Rethinking LLMs vs. SLMs — Through a Business Lens
In today’s GenAI landscape, organizations often default to Large Language Models (LLMs) — powerful, yes, but not always practical.
🔍 The reality?
Most business use cases don't require… pic.twitter.com/zpJ5OAdjvhWhy Bigger Isn’t Always Better in AI Rethinking LLMs vs. SLMs — Through a Business Lens
In today’s GenAI landscape, organizations often default to Large Language Models (LLMs) — powerful, yes, but not always practical. The reality?
Most business use cases don't require -
OpenAI’s Open-Source Models Beat Commercial Pricing Benchmarks
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As benchmarks for OpenAI's new open-source models roll in, one thing to keep in mind is how cheap they actually are: – GPT OSS 20b is cheaper than Gemini 2.5 Flash Light or GPT-4.1-Nano.
– GPT OSS 120b is cheaper than recent open-source models from China (e.g., Kimi K2 or GLM -
GLM 4.5 Air outperforms gpt-oss-20b despite higher RAM usage
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Not sure yet! GLM 4.5 Air on my laptop impressed me more than gpt-oss-20b but also used nearly 4x the RAM
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LM Studio and Groq/Cerebras for Large Language Model Inference
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LM studio for 20B model and Groq/Cerebras for 120B model.