6. OpenAI releases new API primitive The Responses API. Combining the simplicity of Chat Completions with the tool-use of Assistants, this new foundation provides more flexibility in building agents. Web search, file search, or computer use are a couple lines of code!
CODE
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Perplexity API Now Supports MCP Integration
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4. Perplexity API now supports MCPhttps://t.co/ePpjwuQ6vw
— Linus ✦ Ekenstam (@LinusEkenstam) 12 mars 20254. Perplexity API now supports MCP
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Secure LangGraph Client-Side Integration with Next.js
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Securely call LangGraph servers with from the client-side with Next.js:
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Kernighan’s Debugging Wisdom: Print Statements and Careful Thought
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"The most effective debugging tool is still careful thought, coupled with judiciously placed print statements." — Brian Kernighan, co-creator of Unix
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Using Meta pretrained weights without training or image tokens
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Hm, did you use the pretrained weights from Meta? Does the model work fine if you don't do any training and don't pass any image tokens?
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Building AI Apps with LangChain: RAG and Semantic Caching
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Building AI apps using LangChain A new series from our friends at @Redisinc on building AI applications using LangChain and Redis Covers RAG and semantic caching https://
youtube.com/playlist?list=
PL83Wfqi-zYZH8Boxt51keR4vZUDHpAzoO
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OlympicCoder Beats Claude 3.7 in Competitive Programming
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Wow, we've kept pushing our Open-R1 project, an open initiative to replicate and extend the techniques behind DeepSeek-R1 And even we were mind-blown by the results we got with this latest model we're releasing: OlympicCoder It's beating Claude 3.7 on (competitive)
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Clarifying Implicit References in AI Technical Communication
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Implicit references can also trip things up. So, instead of "It revolutionized NLP," say something clearer like, "The 'Attention Is All You Need' paper revolutionized NLP by introducing Transformers."
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Improving RAG Text Chunks with LLM Context Enhancement
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I just had a quick reminder today about the importance of adding context to your text chunks when building a RAG database… Here are a few things we can do, all easily generated with an LLM, to significantly improve your text chunks (before embedding them)…
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Llama.cpp Image-Compatible Playground Guide Released
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BTW Son's image-compatible playground is super cool Guide on how to run it: https://
github.com/ggml-org/llama
.cpp/discussions/12348
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