Working with #MachineLearning model
by @DataScienceDojo #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @pascal_bornet @yvesmulkers @kuriharan
RESEARCH
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Working with Machine Learning Models at Data Science Dojo
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Google Upgrades Gemini Pro with Enhanced Conversational Abilities
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We’ve also added an upgraded version of the original Gemini Pro. This bot has been fine-tuned with a more conversational personality, and features quality improvements in areas such as reasoning, math, latency, storytelling, and summarization. (3/4)
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AI as Keystone Technology: Democracy and Economic Risk
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AI is a keystone technology that’s regulating the entire future of our economy and social relations, says @StanfordHAI faculty affiliate @persily
. “In some ways, the most democratically friendly aspect of this technology also poses the greatest risk.” https://
stanford.io/3vVYesF -
Human and AI Cognition: Reframing Anthropocentric Views of Thought
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Human and #AI Cognition: Reframing Anthropocentric Views Of Thought
by @JohnNosta @Medium Read more: https://
buff.ly/439ECfC #ArtificialIntelligence #MI #Digital #DataScience #DeepLearning cc: @ravikikan @pbalakrishnarao @chr1sa -
LLMs Lack Self-Knowledge Causing Critical Mistakes
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The fact that LLMs lack self-knowledge causes a lot of mistakes
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GPT-4 Improvements Lack Transparency and Release Notes
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As is usual with AI, a “majorly improved” GPT-4 model comes with no real changelogs or release notes. It’s going to better at many things and worse in some other things and also different in some other way you aren’t expecting. Or that might just be in your head. AI is weird.
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RecurrentGemma Open Source: Griffin Achieves Inference Throughput Gains
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I’m very proud of our team for open sourcing RecurrentGemma. Yes, recurrence is back and it results in huge gains at inference time. Just look at the impressive throughput plot below. For details, please see the paper and GitHub page: Griffin: Mixing Gated Linear Recurrences
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Essential AI Book for Career Development and Understanding
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This is by far the best non-technical Natural and Artificial Intelligence book anyone could read. This comprehensive, well-researched, crisply clear, sharply focused and illuminating book is a thing of beauty. It is the book I wish I had had when I started my AI career 30 years
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Anthropic Hiring Research Scientists for AI Societal Impacts
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There’s much more research to be done on persuasion and the other social impacts of AI. If you want to work with us, our Societal Impacts team is hiring. Here’s our current Research Scientist job listing: https://
jobs.lever.co/Anthropic/16ec
5111-778c-4a89-9c74-6d7c29091a74
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Assessing Language Model Persuasiveness: Ethical Challenges
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Assessing the persuasiveness of LMs is inherently difficult. Persuasion is a nuanced phenomenon shaped by many subjective factors, and is further complicated by the bounds of ethical experimental design. We detail the challenges we encountered so others can build on our work.