Conversant is out! Check it out https://
github.com/cohere-ai/sand
box-conversant-lib
… Conversant: A framework for building conversational agents on top of the Cohere API, with a hands-on demo on how to use generative language models in conversational settings and build those interactions.
LLMS
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Conversant: Framework for Building Conversational Agents with Cohere API
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Grounded QA: Contextualized Factual Question-Answering Bot Released
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Grounded QA is out! Clone, tweak, and deploy it https://
github.com/cohere-ai/sand
box-grounded-qa
… Grounded QA: A powerful, contextualized, factual question-answering @Discord bot that uses embeddings, text generation, and web search. -
Model Available in Lean VSCode Plugin for Researchers
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We’ve made our model available through the Lean VSCode plugin to allow researchers to explore the capabilities within the Lean environment. We hope you’ll build on this work as part of our shared pursuit of rapid progress in this exciting field.
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LLMs Generate Convincing but Wrong Completions Often
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this is an issue I also have with copilot. it often very convincingly pushes for long and beautiful but wrong completions LLM as “internet influencers”: surface form trumps content https://
x.com/shortstein/sta
/shortstein/status/1587857803678748672
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AI21 Labs at IL Cloud Summit: Large Language Models and AI Fortune Teller
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Come visit us at the upcoming IL Cloud Summit on November 9th!
— AI21 Labs (@AI21Labs) 3 novembre 2022
We'll be discussing a topic that has been gaining plenty of traction – large language models.
Be sure to stop by our booth as well to experience the magic of our AI fortune teller 🔮✨ pic.twitter.com/OqM3ldylKZCome visit us at the upcoming IL Cloud Summit on November 9th! We'll be discussing a topic that has been gaining plenty of traction – large language models. Be sure to stop by our booth as well to experience the magic of our AI fortune teller
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Math Transformer Interpretability and Generalization Research
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What is my math transformer doing? — Three results on interpretability and generalization Charton et al.: https://
arxiv.org/abs/2211.00170 #MachineLearning #DeepLearning #ArtificialIntelligence -
Beyond GPT-3: Next Wave of Superhuman AI Systems
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In a couple of years, we’re going to look back at GPT-3 as a fun toy… The coming waves of AI systems will be smarter than humans in many ways. A different kind of intelligence. It’ll feel alien, yet familiar. And more generally capable than any single person alive today.
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GPT-3 Requires Chain-of-Thought for Problem Solving, Paper Analysis
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Regardless how a human would do it, GPT-3 needs chain-of-thought to perform on these problems. Only skimmed the paper, but I don't see a specific deficit in ToM vs. known inability to do multi-hop inference without CoT.
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Unlocking AI’s Full Potential for Human Intelligence
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We're Not Using AI to Its Fullest Human Potential https://
time.com/6227118/eric-s
chmidt-ai-human-intelligence/
… @TIME #AI #MachineLearning #DataScience #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #DigitalTransformation #Robots #Python #TensorFlow #DeepLearning -
LLMs Self-Improve: New State-of-the-Art Reasoning Capabilities
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We recently read ‘Large Language Models Can Self-Improve,’ which demonstrates how to improve the general reasoning ability of multi-billion parameter models and achieve state-of-the-art performance. Have you read it? Check it out and let us know your thoughts! #ML #AI #LLM