Experimental News Clipping Site

Tag: benchmark

  • Simon Willison’s Weblog: New Pleias 1.0 LLMs trained exclusively on openly licensed data

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/5/pleias-llms/#atom-everything Source: Simon Willison’s Weblog Title: New Pleias 1.0 LLMs trained exclusively on openly licensed data Feedly Summary: New Pleias 1.0 LLMs trained exclusively on openly licensed data I wrote about the Common Corpus public domain dataset back in March. Now Pleias, the team behind Common Corpus, have released the first family of…

  • The Register: Wish there was a benchmark for ML safety? Allow us to AILuminate you…

    —

    by

    system automation
    in

    Source URL: https://www.theregister.com/2024/12/05/mlcommons_ai_safety_benchmark/ Source: The Register Title: Wish there was a benchmark for ML safety? Allow us to AILuminate you… Feedly Summary: Very much a 1.0 – but it’s a solid start MLCommons, an industry-led AI consortium, on Wednesday introduced AILuminate – a benchmark for assessing the safety of large language models in products.… AI…

  • Simon Willison’s Weblog: First impressions of the new Amazon Nova LLMs (via a new llm-bedrock plugin)

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Dec/4/amazon-nova/ Source: Simon Willison’s Weblog Title: First impressions of the new Amazon Nova LLMs (via a new llm-bedrock plugin) Feedly Summary: Amazon released three new Large Language Models yesterday at their AWS re:Invent conference. The new model family is called Amazon Nova and comes in three sizes: Micro, Lite and Pro. I built…

  • Wired: A New Benchmark for the Risks of AI

    —

    by

    system automation
    in

    Source URL: https://www.wired.com/story/benchmark-for-ai-risks/ Source: Wired Title: A New Benchmark for the Risks of AI Feedly Summary: MLCommons provides benchmarks that test the abilities of AI systems. It wants to measure the bad side of AI next. AI Summary and Description: Yes Summary: The text discusses MLCommons’ introduction of AILuminate, a new benchmark designed to evaluate…

  • Hacker News: Pinecone integrates AI inferencing with vector database

    —

    by

    system automation
    in

    Source URL: https://blocksandfiles.com/2024/12/02/pinecone-integrates-ai-inferencing-with-its-vector-database/ Source: Hacker News Title: Pinecone integrates AI inferencing with vector database Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the enhancements made by Pinecone, a vector database platform, to improve retrieval-augmented generation (RAG) through integrated AI inferencing capabilities and security features. This development is significant for professionals engaged…

  • Cloud Blog: Veo and Imagen 3: Announcing new video and image generation models on Vertex AI

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-veo-and-imagen-3-on-vertex-ai/ Source: Cloud Blog Title: Veo and Imagen 3: Announcing new video and image generation models on Vertex AI Feedly Summary: Generative AI is leading to real business growth and transformation. Among enterprise companies with gen AI in production, 86% report an increase in revenue1, with an estimated 6% growth. That’s why Google…

  • Cloud Blog: Vertex AI grounding: More reliable models, fewer hallucinations

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-vertex-ai-grounding-helps-build-more-reliable-models/ Source: Cloud Blog Title: Vertex AI grounding: More reliable models, fewer hallucinations Feedly Summary: At the Gemini for Work event in September, we showcased how generative AI is transforming the way enterprises work. Across all the customer innovation we saw at the event, one thing was clear – if last year was…

  • Hacker News: What happens if we remove 50 percent of Llama?

    —

    by

    system automation
    in

    Source URL: https://neuralmagic.com/blog/24-sparse-llama-smaller-models-for-efficient-gpu-inference/ Source: Hacker News Title: What happens if we remove 50 percent of Llama? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document introduces Sparse Llama 3.1, a foundational model designed to improve efficiency in large language models (LLMs) through innovative sparsity and quantization techniques. The model offers significant benefits in…

  • Hacker News: How We Optimize LLM Inference for AI Coding Assistant

    —

    by

    system automation
    in

    Source URL: https://www.augmentcode.com/blog/rethinking-llm-inference-why-developer-ai-needs-a-different-approach? Source: Hacker News Title: How We Optimize LLM Inference for AI Coding Assistant Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and optimization strategies employed by Augment to improve large language model (LLM) inference specifically for coding tasks. It highlights the importance of providing full codebase…

  • Hacker News: Controlling AI’s Growing Energy Needs

    —

    by

    system automation
    in

    Source URL: https://cacm.acm.org/news/controlling-ais-growing-energy-needs/ Source: Hacker News Title: Controlling AI’s Growing Energy Needs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text highlights the significant energy demands associated with training large AI models, particularly large language models (LLMs) like ChatGPT-3. It discusses the exponential growth in energy consumption for AI model training, the…