Tag: models
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Cloud Blog: Google is a Leader in The Forrester Wave™: Translytical Data Platforms, Q4 2024
Source URL: https://cloud.google.com/blog/products/databases/leader-in-the-forrester-wave-translytical-data-platforms-q4-2024/ Source: Cloud Blog Title: Google is a Leader in The Forrester Wave™: Translytical Data Platforms, Q4 2024 Feedly Summary: With the technology advances of our cloud-first databases, Google Cloud has become the go-to platform for companies looking to run complex, real-time, business-critical workloads. Don’t just take our word for it. Today, we’re…
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Hacker News: Understanding Ruby 3.3 Concurrency: A Comprehensive Guide
Source URL: https://blog.bestwebventures.in/understanding-ruby-concurrency-a-comprehensive-guide Source: Hacker News Title: Understanding Ruby 3.3 Concurrency: A Comprehensive Guide Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration of Ruby 3.3’s enhanced concurrency capabilities, which are critical for developing efficient applications in AI and machine learning. With improved concurrency models like Ractors, Threads, and…
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Schneier on Security: AI Industry is Trying to Subvert the Definition of “Open Source AI”
Source URL: https://www.schneier.com/blog/archives/2024/11/ai-industry-is-trying-to-subvert-the-definition-of-open-source-ai.html Source: Schneier on Security Title: AI Industry is Trying to Subvert the Definition of “Open Source AI” Feedly Summary: The Open Source Initiative has published (news article here) its definition of “open source AI,” and it’s terrible. It allows for secret training data and mechanisms. It allows for development to be done…
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Hacker News: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
Source URL: https://arxiv.org/abs/2410.21228 Source: Hacker News Title: LoRA vs. Full Fine-Tuning: An Illusion of Equivalence Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents a comparative study of Low-Rank Adaptation (LoRA) and full fine-tuning for large language models (LLMs). It reveals significant differences in how each method alters pre-trained models, particularly focusing…
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Hacker News: How to Solve It with Code
Source URL: https://www.answer.ai/posts/2024-11-07-solveit.html Source: Hacker News Title: How to Solve It with Code Feedly Summary: Comments AI Summary and Description: Yes Summary: The announcement of fast.ai joining Answer.AI marks a significant evolution in AI education with a new course designed to enhance collaboration between humans and AI through a method dubbed “Dialog Engineering.” This innovative…
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Slashdot: Interview with Programmer Steve Yegge On the Future of AI Coding
Source URL: https://developers.slashdot.org/story/24/11/07/1926221/interview-with-programmer-steve-yegge-on-the-future-of-ai-coding Source: Slashdot Title: Interview with Programmer Steve Yegge On the Future of AI Coding Feedly Summary: AI Summary and Description: Yes Summary: The text discusses an interview with programmer Steve Yegge, highlighting his insights on the evolution of programming due to AI-powered coding assistants, particularly focusing on how large language models (LLMs)…
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Hacker News: Anthropic teams up with Palantir and AWS to sell AI to defense customers
Source URL: https://techcrunch.com/2024/11/07/anthropic-teams-up-with-palantir-and-aws-to-sell-its-ai-to-defense-customers/ Source: Hacker News Title: Anthropic teams up with Palantir and AWS to sell AI to defense customers Feedly Summary: Comments AI Summary and Description: Yes Summary: Anthropic is collaborating with Palantir and AWS to enhance AI capabilities for U.S. defense agencies, signaling a significant integration of AI technologies within national security frameworks.…
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Simon Willison’s Weblog: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5
Source URL: https://simonwillison.net/2024/Nov/7/project-verdad/#atom-everything Source: Simon Willison’s Weblog Title: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5 Feedly Summary: I’m starting a new interview series called Project. The idea is to interview people who are building interesting data projects and talk about what they’ve built, how they built it, and what they learned…