Tag: prompts
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AWS News Blog: Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview)
Source URL: https://aws.amazon.com/blogs/aws/reduce-costs-and-latency-with-amazon-bedrock-intelligent-prompt-routing-and-prompt-caching-preview/ Source: AWS News Blog Title: Reduce costs and latency with Amazon Bedrock Intelligent Prompt Routing and prompt caching (preview) Feedly Summary: Route requests and cache frequently used context in prompts to reduce latency and balance performance with cost efficiency. AI Summary and Description: Yes Summary: Amazon Bedrock has previewed two significant capabilities…
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Cloud Blog: Build and refine your audio generation end-to-end with Gemini 1.5 Pro
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/learn-how-to-build-a-podcast-with-gemini-1-5-pro/ Source: Cloud Blog Title: Build and refine your audio generation end-to-end with Gemini 1.5 Pro Feedly Summary: Generative AI is giving people new ways to experience audio content, from podcasts to audio summaries. For example, users are embracing NotebookLM’s recent Audio Overview feature, which turns documents into audio conversations. With one click,…
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Simon Willison’s Weblog: Quoting François Chollet
Source URL: https://simonwillison.net/2024/Dec/20/francois-chollet/#atom-everything Source: Simon Willison’s Weblog Title: Quoting François Chollet Feedly Summary: OpenAI’s new o3 system – trained on the ARC-AGI-1 Public Training set – has scored a breakthrough 75.7% on the Semi-Private Evaluation set at our stated public leaderboard $10k compute limit. A high-compute (172x) o3 configuration scored 87.5%. This is a surprising…
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Simon Willison’s Weblog: Gemini 2.0 Flash "Thinking mode"
Source URL: https://simonwillison.net/2024/Dec/19/gemini-thinking-mode/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.0 Flash "Thinking mode" Feedly Summary: Those new model releases just keep on flowing. Today it’s Google’s snappily named gemini-2.0-flash-thinking-exp, their first entrant into the o1-style inference scaling class of models. I posted about a great essay about the significance of these just this morning. From…
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Slashdot: Google Releases Its Own ‘Reasoning’ AI Model
Source URL: https://tech.slashdot.org/story/24/12/19/2235220/google-releases-its-own-reasoning-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases Its Own ‘Reasoning’ AI Model Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the introduction of Google’s new AI model, Gemini 2.0 Flash Thinking Experimental, which is designed for multimodal understanding and reasoning. It highlights the model’s ability to self-fact-check and improve accuracy, although…
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AlgorithmWatch: Large language models continue to be unreliable concerning elections
Source URL: https://algorithmwatch.org/en/llms_state_elections/ Source: AlgorithmWatch Title: Large language models continue to be unreliable concerning elections Feedly Summary: Large language models continue to be unreliable for election information. Our research was able to substantially improve the reliability of safeguards in the Microsoft Copilot chatbot against election misinformation in German. However barriers to data access greatly restricted…
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Simon Willison’s Weblog: Building Python tools with a one-shot prompt using uv run and Claude Projects
Source URL: https://simonwillison.net/2024/Dec/19/one-shot-python-tools/#atom-everything Source: Simon Willison’s Weblog Title: Building Python tools with a one-shot prompt using uv run and Claude Projects Feedly Summary: I’ve written a lot about how I’ve been using Claude to build one-shot HTML+JavaScript applications via Claude Artifacts. I recently started using a similar pattern to create one-shot Python utilities, using a…