Tag: natural language
-
Slashdot: If You Want Your Company’s Stock To Go Up, Hire Wonkier IT People
Source URL: https://tech.slashdot.org/story/24/10/22/1448225/if-you-want-your-companys-stock-to-go-up-hire-wonkier-it-people?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: If You Want Your Company’s Stock To Go Up, Hire Wonkier IT People Feedly Summary: AI Summary and Description: Yes Summary: The findings from Barclays research indicate that companies focusing on hiring specialized AI talent are yielding superior stock market returns. This trend underlines the significance of targeted recruitment…
-
Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges
Source URL: https://arxiv.org/abs/2408.13296 Source: Hacker News Title: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges Feedly Summary: Comments AI Summary and Description: Yes Summary: This guide extensively covers the fine-tuning of Large Language Models (LLMs), detailing methodologies, techniques, and practical applications. Its relevance to AI and LLM security professionals is underscored by discussions…
-
Cloud Blog: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned
Source URL: https://cloud.google.com/blog/products/identity-security/we-tested-intels-amx-cpu-accelerator-for-ai-heres-what-we-learned/ Source: Cloud Blog Title: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned Feedly Summary: At Google Cloud, we believe that cloud computing will increasingly shift to private, encrypted services where users can be confident that their software and data are not being exposed to unauthorized actors. In support…
-
Hacker News: VPTQ: Extreme low-bit Quantization for real LLMs
Source URL: https://github.com/microsoft/VPTQ Source: Hacker News Title: VPTQ: Extreme low-bit Quantization for real LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel technique called Vector Post-Training Quantization (VPTQ) designed for compressing Large Language Models (LLMs) to extremely low bit-widths (under 2 bits) without compromising accuracy. This innovative method can…
-
Docker: Announcing IBM Granite AI Models Now Available on Docker Hub
Source URL: https://www.docker.com/blog/announcing-ibm-granite-ai-models-now-available-on-docker-hub/ Source: Docker Title: Announcing IBM Granite AI Models Now Available on Docker Hub Feedly Summary: IBM’s Granite AI models, optimized for business applications, are now available on Docker Hub, making it easier for developers to deploy, scale, and customize AI-powered apps. AI Summary and Description: Yes Summary: The announcement regarding IBM’s Granite…
-
Hacker News: Use Prolog to improve LLM’s reasoning
Source URL: https://shchegrikovich.substack.com/p/use-prolog-to-improve-llms-reasoning Source: Hacker News Title: Use Prolog to improve LLM’s reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the limitations of Large Language Models (LLMs) in reasoning tasks and introduces innovative methods to enhance their performance using Prolog as an intermediate programming language. These advancements leverage neurosymbolic approaches…
-
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…