Tag: programming
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Hacker News: AlphaCodium outperforms direct prompting of OpenAI’s o1 on coding problems
Source URL: https://www.qodo.ai/blog/system-2-thinking-alphacodium-outperforms-direct-prompting-of-openai-o1/ Source: Hacker News Title: AlphaCodium outperforms direct prompting of OpenAI’s o1 on coding problems Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses OpenAI’s new o1 model and introduces AlphaCodium, a novel tool designed to enhance code generation performance by integrating a structured, iterative approach. It…
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Hacker News: A FLOSS platform for data analysis pipelines that you probably haven’t heard of
Source URL: https://arvados.org/technology/ Source: Hacker News Title: A FLOSS platform for data analysis pipelines that you probably haven’t heard of Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses the Arvados architecture, an open-source platform for managing and processing large datasets, highlighting its data storage capabilities, workflow orchestration, and security features.…
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Simon Willison’s Weblog: An LLM TDD loop
Source URL: https://simonwillison.net/2024/Oct/13/an-llm-tdd-loop/#atom-everything Source: Simon Willison’s Weblog Title: An LLM TDD loop Feedly Summary: An LLM TDD loop Super neat demo by David Winterbottom, who wrapped my LLM and files-to-prompt tools in a short Bash script that can be fed a file full of Python unit tests and an empty implementation file and will then…
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Hacker News: Large language models reduce public knowledge sharing on online Q&A platforms
Source URL: https://academic.oup.com/pnasnexus/article/3/9/pgae400/7754871 Source: Hacker News Title: Large language models reduce public knowledge sharing on online Q&A platforms Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses a significant decline in user activity on Stack Overflow following the release of ChatGPT, underscoring the implications for the generation of digital public goods and…
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Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust
Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…
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Slashdot: 80% of Software Engineers Must Upskill For AI Era By 2027, Gartner Warns
Source URL: https://developers.slashdot.org/story/24/10/09/200255/80-of-software-engineers-must-upskill-for-ai-era-by-2027-gartner-warns?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: 80% of Software Engineers Must Upskill For AI Era By 2027, Gartner Warns Feedly Summary: AI Summary and Description: Yes Summary: The text highlights the urgent need for software engineers to upskill in response to the transformative impact of generative AI on the industry. With projections indicating a significant…
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Slashdot: Researchers Claim New Technique Slashes AI Energy Use By 95%
Source URL: https://science.slashdot.org/story/24/10/08/2035247/researchers-claim-new-technique-slashes-ai-energy-use-by-95?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Researchers Claim New Technique Slashes AI Energy Use By 95% Feedly Summary: AI Summary and Description: Yes Summary: Researchers at BitEnergy AI, Inc. have introduced Linear-Complexity Multiplication (L-Mul), a novel technique that reduces AI model power consumption by up to 95% by replacing floating-point multiplications with integer additions. This…
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Hacker News: Trap – Transformers in APL
Source URL: https://github.com/BobMcDear/trap Source: Hacker News Title: Trap – Transformers in APL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an implementation of autoregressive transformers in APL, specifically focused on GPT2, highlighting its unique approach to handling performance and simplicity in deep learning. It offers insights that are particularly relevant to…