Posted 6th annual review of my Jan 1st, 2018, predictions on autonomous driving cars (+electric+flying), robotics and AI, and human spaceflight. The hype around them all meant that people were expecting large scale deployments in unrealistic timeframes. rodneybroooks dot com
RESEARCH
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2024 AI Breakthrough: Capability, Safety, and Positive Impact
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Prediction: 2024 will feel like a breakthrough year in terms of AI capability, safety, and general positivity about its potential impact. In the longer term, it'll look like just one more year on an exponential that can make everyone's lives better than anyone's today.
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AI Existential Risk and Current Problems Collaboration
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To be clear, I do think AI existential risk is a very important problem. I commend all my colleagues working on it. I also think there are many more current problems that a great many of my colleagues, including those working on existential risk, work on. Let us all work together
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Evaluating RAG Pipelines with LangChain and RAGAS
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Evaluating RAG pipelines using LangChain and Ragas LangChain can help you build RAG pipelines, but how do you evaluate them? We have a great integration with RAGAS to do exactly that! h/t @DataScienceHarp for writing all about it Blog: https://
deci.ai/blog/evaluatin
g-rag-pipelines-using-langchain-and-ragas/
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Graph Fails to Represent AI Singularity Accurately
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Just a poorly made graph, singularity is not represented here.
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Ten Years of Deep Learning Research: A Comprehensive Summary
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ten years of deep learning research, a summary
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Where Are We on the AI Development Curve?
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The most important AI question for 2024 is where in this curve we are, the answer profoundly impacts every part of life and the future.
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LLaRA: Adapting LLMs for Dense Retrieval Tasks
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9/ Making LLMs Better at Dense Retrieval – proposes LLaRA which adapts an LLM for dense retrieval; LLaMa-2-7B was improved on benchmarks like MSMARCO and BEIR.
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26 Principles for Optimizing LLM Prompts and Instructions
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7/ Principled Instructions Are All You Need – introduces 26 principles to streamline the process of querying and prompting LLMs; conducts extensive experiments on LLaMA-1/2 & GPT-3.5/4 to verify their effectiveness on instructions & prompts design.
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Survey of Reasoning with Foundation Models: Latest Advancements
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8/ A Survey of Reasoning with Foundation Models – provides a comprehensive survey of seminal foundational models for reasoning, highlighting the latest advancements in various reasoning tasks, methods, benchmarks, and potential future directions.