Tag: training approach
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Hacker News: AI Progress Stalls as OpenAI, Google and Anthropic Hit Roadblocks
Source URL: https://www.nasdaq.com/articles/ai-progress-stalls-openai-google-and-anthropic-hit-roadblocks Source: Hacker News Title: AI Progress Stalls as OpenAI, Google and Anthropic Hit Roadblocks Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges faced by major AI companies such as OpenAI, Google, and Anthropic in their quest to develop more advanced AI models. It highlights setbacks related…
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Simon Willison’s Weblog: SmolLM2
Source URL: https://simonwillison.net/2024/Nov/2/smollm2/#atom-everything Source: Simon Willison’s Weblog Title: SmolLM2 Feedly Summary: SmolLM2 New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough…
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Hacker News: Physical Intelligence’s first generalist robotic model
Source URL: https://www.physicalintelligence.company/blog/pi0?blog Source: Hacker News Title: Physical Intelligence’s first generalist robotic model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of π0, a general-purpose robot foundation model aimed at enabling robots to perform a wide range of tasks with greater dexterity and autonomy. This marks a significant step…
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The Register: US Army should ditch tanks for AI drones, says Eric Schmidt
Source URL: https://www.theregister.com/2024/10/30/google_ceo_tank_ai_drones/ Source: The Register Title: US Army should ditch tanks for AI drones, says Eric Schmidt Feedly Summary: And what do you know, Google’s former CEO just so happens to have a commercial solution Former Google chief Eric Schmidt thinks the US Army should expunge “useless" tanks and replace them with AI-powered drones…
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Hacker News: Fine-Tuning LLMs to 1.58bit
Source URL: https://huggingface.co/blog/1_58_llm_extreme_quantization Source: Hacker News Title: Fine-Tuning LLMs to 1.58bit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the recently introduced BitNet architecture by Microsoft Research, which allows extreme quantization of Large Language Models (LLMs) to just 1.58 bits per parameter. This significant reduction in memory and computational demands presents…