Tag: benchmark

  • METR Blog – METR: Evaluating frontier AI R&D capabilities of language model agents against human experts

    Source URL: https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/ Source: METR Blog – METR Title: Evaluating frontier AI R&D capabilities of language model agents against human experts Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the release of RE-Bench, a new benchmark aimed at evaluating the performance of AI agents against human experts in machine learning (ML) research…

  • Hacker News: LLäMmlein 1B and 120M – German-only decoder models

    Source URL: https://www.informatik.uni-wuerzburg.de/datascience/projects/nlp/llammlein/ Source: Hacker News Title: LLäMmlein 1B and 120M – German-only decoder models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the development of two German-only decoder models, LLäMmlein 120M and 1B, highlighting their competitive performance against state-of-the-art models. This is particularly relevant for professionals in AI security and…

  • Simon Willison’s Weblog: Say hello to gemini-exp-1121

    Source URL: https://simonwillison.net/2024/Nov/22/gemini-exp-1121/#atom-everything Source: Simon Willison’s Weblog Title: Say hello to gemini-exp-1121 Feedly Summary: Say hello to gemini-exp-1121 Google Gemini’s Logan Kilpatrick on Twitter: Say hello to gemini-exp-1121! Our latest experimental gemini model, with: significant gains on coding performance stronger reasoning capabilities improved visual understanding Available on Google AI Studio and the Gemini API right…

  • Hacker News: WhisperNER: Unified Open Named Entity and Speech Recognition

    Source URL: https://arxiv.org/abs/2409.08107 Source: Hacker News Title: WhisperNER: Unified Open Named Entity and Speech Recognition Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces WhisperNER, a novel model that integrates named entity recognition (NER) with automatic speech recognition (ASR) to enhance transcription accuracy and informativeness. This integration is particularly relevant for AI…

  • Slashdot: DeepSeek’s First Reasoning Model R1-Lite-Preview Beats OpenAI o1 Performance

    Source URL: https://slashdot.org/story/24/11/20/2129207/deepseeks-first-reasoning-model-r1-lite-preview-beats-openai-o1-performance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek’s First Reasoning Model R1-Lite-Preview Beats OpenAI o1 Performance Feedly Summary: AI Summary and Description: Yes Summary: DeepSeek, a Chinese AI offshoot, has released a new reasoning-focused large language model, the R1-Lite-Preview, via its AI chatbot. This model demonstrates advanced reasoning capabilities and transparency in its processing, drawing attention…

  • Alerts: 2024 CWE Top 25 Most Dangerous Software Weaknesses

    Source URL: https://www.cisa.gov/news-events/alerts/2024/11/20/2024-cwe-top-25-most-dangerous-software-weaknesses Source: Alerts Title: 2024 CWE Top 25 Most Dangerous Software Weaknesses Feedly Summary: The Cybersecurity and Infrastructure Security Agency (CISA), in collaboration with the Homeland Security Systems Engineering and Development Institute (HSSEDI), operated by MITRE, has released the 2024 CWE Top 25 Most Dangerous Software Weaknesses. This annual list identifies the most critical…

  • Slashdot: Microsoft, Atom Computing Leap Ahead On the Quantum Frontier With Logical Qubits

    Source URL: https://tech.slashdot.org/story/24/11/20/0026222/microsoft-atom-computing-leap-ahead-on-the-quantum-frontier-with-logical-qubits?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Microsoft, Atom Computing Leap Ahead On the Quantum Frontier With Logical Qubits Feedly Summary: AI Summary and Description: Yes Summary: Microsoft and Atom Computing have achieved a significant milestone in developing fault-tolerant quantum computing. The advancement involves utilizing quantum capabilities through Azure cloud service, while also addressing error correction…

  • Hacker News: Batched reward model inference and Best-of-N sampling

    Source URL: https://raw.sh/posts/easy_reward_model_inference Source: Hacker News Title: Batched reward model inference and Best-of-N sampling Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in reinforcement learning (RL) models applied to large language models (LLMs), focusing particularly on reward models utilized in techniques like Reinforcement Learning with Human Feedback (RLHF) and dynamic…

  • Hacker News: Qwen2.5 Turbo extends context length to 1M tokens

    Source URL: http://qwenlm.github.io/blog/qwen2.5-turbo/ Source: Hacker News Title: Qwen2.5 Turbo extends context length to 1M tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of Qwen2.5-Turbo, a large language model (LLM) that significantly enhances processing capabilities, particularly with longer contexts, which are critical for many applications involving AI-driven natural language…