Tag: benchmark
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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: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data
Source URL: https://arxiv.org/abs/2405.14333 Source: Hacker News Title: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces DeepSeek-Prover, an innovative approach that leverages large-scale synthetic data to improve the capabilities of large language models (LLMs) in formal theorem proving. It highlights the challenges…
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Hacker News: Llama 405B 506 tokens/second on an H200
Source URL: https://developer.nvidia.com/blog/boosting-llama-3-1-405b-throughput-by-another-1-5x-on-nvidia-h200-tensor-core-gpus-and-nvlink-switch/ Source: Hacker News Title: Llama 405B 506 tokens/second on an H200 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in LLM (Large Language Model) processing techniques, specifically focusing on tensor and pipeline parallelism within NVIDIA’s architecture, enhancing performance in inference tasks. It provides insights into how these…
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Hacker News: Lm.rs Minimal CPU LLM inference in Rust with no dependency
Source URL: https://github.com/samuel-vitorino/lm.rs Source: Hacker News Title: Lm.rs Minimal CPU LLM inference in Rust with no dependency Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text pertains to the development and utilization of a Rust-based application for running inference on Large Language Models (LLMs), particularly the LLama 3.2 models. It discusses technical…
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Hacker News: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Source URL: https://arxiv.org/abs/2410.05229 Source: Hacker News Title: Understanding the Limitations of Mathematical Reasoning in Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a study on the mathematical reasoning capabilities of Large Language Models (LLMs), highlighting their limitations and introducing a new benchmark, GSM-Symbolic, for more effective evaluation. This…
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The Register: AMD pumps Epyc core count to 192, clocks up to 5 GHz with Turin debut
Source URL: https://www.theregister.com/2024/10/10/amd_epyc_turin/ Source: The Register Title: AMD pumps Epyc core count to 192, clocks up to 5 GHz with Turin debut Feedly Summary: Just not on the same chip, of course Intel’s 128-core Granite Rapids Xeons are barely two weeks old and AMD has already fired back with a family of fifth-gen Epycs that…
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OpenAI : MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Source URL: https://openai.com/index/mle-bench Source: OpenAI Title: MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering Feedly Summary: We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering. AI Summary and Description: Yes Summary: MLE-bench introduces a new benchmark designed to evaluate the performance of AI agents in the domain…