Tag: Python

  • Cloud Blog: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-a-real-time-voice-agent-with-gemini-adk/ Source: Cloud Blog Title: How to build a real-time voice agent with Gemini, Google ADK, and A2A protocol Feedly Summary: Building advanced conversational AI has moved well beyond text. Now, we can use AI to create real-time, voice-driven agents. However, these systems need low-latency, two-way communication, real-time information retrieval, and the ability…

  • Cloud Blog: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

  • Simon Willison’s Weblog: TIL: Running a gpt-oss eval suite against LM Studio on a Mac

    Source URL: https://simonwillison.net/2025/Aug/17/gpt-oss-eval-suite/#atom-everything Source: Simon Willison’s Weblog Title: TIL: Running a gpt-oss eval suite against LM Studio on a Mac Feedly Summary: TIL: Running a gpt-oss eval suite against LM Studio on a Mac The other day I learned that OpenAI published a set of evals as part of their gpt-oss model release, described in…

  • Simon Willison’s Weblog: LLM 0.27, the annotated release notes: GPT-5 and improved tool calling

    Source URL: https://simonwillison.net/2025/Aug/11/llm-027/ Source: Simon Willison’s Weblog Title: LLM 0.27, the annotated release notes: GPT-5 and improved tool calling Feedly Summary: I shipped LLM 0.27 today, adding support for the new GPT-5 family of models from OpenAI plus a flurry of improvements to the tool calling features introduced in LLM 0.26. Here are the annotated…