Tag: language models

  • Hacker News: Legion Health (YC S21) Is Hiring

    Source URL: https://www.ycombinator.com/companies/legion-health/jobs/YvUSGxj-mid-level-full-stack-engineer-ai-native-telepsychiatry-legion-health-usa Source: Hacker News Title: Legion Health (YC S21) Is Hiring Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights Legion Health’s innovative approach to mental healthcare through LLM-driven telepsychiatry, emphasizing the integration of advanced technologies and compliance with healthcare regulations. This is particularly relevant for professionals in AI, cloud…

  • Hacker News: Letting Language Models Write My Website

    Source URL: https://nicholas.carlini.com/writing/2025/llms-write-my-bio.html Source: Hacker News Title: Letting Language Models Write My Website Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an engaging exploration of the capabilities and limitations of large language models (LLMs) through a creative project where the author generates a new homepage and biography each day using different…

  • Hacker News: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought?

    Source URL: https://aipapersacademy.com/chain-of-continuous-thought/ Source: Hacker News Title: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought? Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents an innovative approach to enhancing reasoning capabilities in large language models (LLMs) through a method called Chain of Continuous Thought (COCONUT). It highlights…

  • Hacker News: Performance of LLMs on Advent of Code 2024

    Source URL: https://www.jerpint.io/blog/advent-of-code-llms/ Source: Hacker News Title: Performance of LLMs on Advent of Code 2024 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an experiment evaluating the performance of Large Language Models (LLMs) during the Advent of Code 2024 challenge, revealing that LLMs did not perform as well as expected. The…

  • Hacker News: Empirical Study of Test Generation with LLM’s

    Source URL: https://arxiv.org/abs/2406.18181 Source: Hacker News Title: Empirical Study of Test Generation with LLM’s Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper evaluates the use of Large Language Models (LLMs) for automating unit test generation in software development, focusing on open-source models. It emphasizes the importance of prompt engineering and the advantages…

  • Slashdot: AI Tools May Soon Manipulate People’s Online Decision-Making, Say Researchers

    Source URL: https://slashdot.org/story/24/12/30/0435226/ai-tools-may-soon-manipulate-peoples-online-decision-making-say-researchers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Tools May Soon Manipulate People’s Online Decision-Making, Say Researchers Feedly Summary: AI Summary and Description: Yes Summary: This text discusses the potential of AI tools to manipulate online audiences by using insights from human behavior and intentions, emphasizing the emergence of an “intention economy.” Researchers warn about the…

  • Hacker News: KAG – Knowledge Graph RAG Framework

    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…

  • Hacker News: Measuring and Understanding LLM Identity Confusion

    Source URL: https://arxiv.org/abs/2411.10683 Source: Hacker News Title: Measuring and Understanding LLM Identity Confusion Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a research paper focused on “identity confusion” in Large Language Models (LLMs), which has implications for their originality and trustworthiness across various applications. With over a quarter of analyzed LLMs…

  • The Register: It’s only a matter of time before LLMs jump start supply-chain attacks

    Source URL: https://www.theregister.com/2024/12/29/llm_supply_chain_attacks/ Source: The Register Title: It’s only a matter of time before LLMs jump start supply-chain attacks Feedly Summary: ‘The greatest concern is with spear phishing and social engineering’ Interview Now that criminals have realized there’s no need to train their own LLMs for any nefarious purposes – it’s much cheaper and easier…

  • Hacker News: I Run LLMs Locally

    Source URL: https://abishekmuthian.com/how-i-run-llms-locally/ Source: Hacker News Title: I Run LLMs Locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how to set up and run Large Language Models (LLMs) locally, highlighting hardware requirements, tools, model choices, and practical insights on achieving better performance. This is particularly relevant for professionals focused on…