This is the full output saved as a text file, it's fascinating to see how Claude thinks. The whole process took exactly 13 minutes and 20 seconds.
RESEARCH
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TheProfessor: Advanced LLM Merging for Conversational AI and Scientific Applications
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TheProfessor is a merge of #LLMs, created with help from @AbacusAI
's #GenerativeAI team. It can be used for many things with its conversational #AI, reasoning, scientific, medical, & mathematical skills interactive brainstorming: https://
huggingface.co/abacusai/ThePr
ofessor-155b
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Defining AGI: Surpassing Humans in Economically Valuable Tasks
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The def I'm familiar with is: AGI = "an autonomous system that surpasses human in most economically valuable tasks." For "economically valuable tasks" I like to look at the U.S. Bureau of Labor Statistics index of occupations: https://
bls.gov/ooh/a-z-index.
htm
… You'd have to imagine -
European Digital Education Event Keynote on Code and Innovation
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I was really honored to be the keynote at this prestigious European event. Enjoy! https://
youtu.be/i1ExZ2Bo9I0?si
=9LLQl-5Mqs2pd5G4
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#digitaleu #eucodeweek #teachday #innovation #technology #education #edutech @ArturHabant @elaniaz @DigitalEU @Khulood_Almani @stratorob @SpirosMargaris @HaroldSinnott -
RAG Query Routing: Handling Multiple Datastores
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RAG From Scratch: Routing Our RAG From Scratch video series walks through impt RAG concepts in short / focused videos w/ code. This is the 10th video in our series and focuses on query routing. Problem: We often have multiple possible datastores (e.g., different vectorDBs,
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RAG Complexity: Query Understanding and Document Retrieval Challenges
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RAG is difficult to get right because the system has to understand your query before retrieving the appropriate documents from the vector store. It’s a complex machine-learning problem and you have to solve for multiple parts: query re-writing, efficient retrieval, re-ranking,
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Stanford Digital Economy Lab Launches Under Erik Brynjolfsson
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February 2020: Digital economy scholar Erik Brynjolfsson @erikbryn joined @StanfordHAI as a senior fellow and launched the Stanford @digeconlab
, which conducts groundbreaking research on the impact of the digital economy. #MondayMilestones 4/n -
U.S. Launches NAIRR Initiative to Boost Public AI Research
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Within the same year, we called for a National AI Research Resource (NAIRR) to drive U.S. innovation in AI by providing compute power and data access for public researchers. #MondayMilestones 3/n
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Stanford HAI Celebrates Five Years of Human-Centered AI
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Stanford HAI is turning five! We’re excited to celebrate this anniversary with our community of scholars, collaborators, supporters, and staff. Follow along our #MondayMilestones as we look back at key moments that have shaped our commitment to advancing human-centered AI. 1/n
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Stanford Launches University-Wide Human-Centered AI Institute
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March 2019: @Stanford announced the launch of a university-wide institute to study, guide, and develop human-centered artificial intelligence technologies and applications. #MondayMilestones 2/n https://
news.stanford.edu/2019/03/18/sta
nford_university_launches_human-centered_ai/
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