OpenAI's Sam Altman bullish on AI's role in #India! https://
thenationalnews.com/business/techn
ology/2023/06/10/openais-sam-altman-bullish-on-ais-role-in-india/
… #ChatGPT #BingAI #ChatGPT #opensource #EthicalAI #Python #tech #chatgpt4 #AI #ML #AIEthics #chatgpt3 #code #GPT3 #GPT4 #GPT4AI #aichat #chatbot #ChatbotAI #BardAI #chatgpt5 #LLMs #LLM #GenerativeAI
LLMS
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Sam Altman Bullish on AI’s Role in India
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Google Bard AI ChatGPT Killer Comparison Analysis
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Will Google Bard AI be ChatGPT Killer? https://
analyticsinsight.net/web-stories/wi
ll-google-bard-ai-be-chatgpt-killer/
… #ChatGPT #BingAI #ChatGPT #opensource #EthicalAI #Python #tech #chatgpt4 #AI #ML #AIEthics #chatgpt3 #code #GPT3 #GPT4 #GPT4AI #aichat #chatbot #ChatbotAI #BardAI #chatgpt5 #LLMs #LLM #GenerativeAI #GoogleBard -
ChatGPT Should Never Be Used as Source Material
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Followed maybe by: "But you tell us we have to cite our sources." "Right. ChatGPT should never be a source."
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SlimPajama-627B: Large Deduplicated Open-Source LLM Dataset
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SlimPajama-627B: the largest extensively deduplicated, multi1corpora, open-source dataset for training large language models. Sometimes less is more! https://
reddit.com/r/MachineLearn
ing/comments/1467jvm/np_introducing_slimpajama627b_the_largest/
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Techniques for Accelerating AI Model Training
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9.0 Overview – Techniques for Speeding Up Model Training – Lightning AI https://bit.ly/3Whflhz #AI #MachineLearning #DeepLearning #LLMs #DataScience
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AI honesty: Will systems admit uncertainty by mid-2025?
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What we're asking is not whether an AI can solve this task, but whether there will be, by mid-2025, some technical advance whereby, in general, if the AI doesn't know how to do a thing, it will tell you so rather than making up a wrong answer.
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AGI Agent Must Excel at Math and String Processing
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call me old fashioned, but IMHO if it is going to be pitched as a general purpose near AGI agent it oughta be pretty darn good at math and strings.
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Pretraining Dominates Knowledge Acquisition in Large Language Models
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Quoting:
"These results strongly suggest that almost all knowledge in large language models is learned during pretraining, and only limited instruction tuning data is necessary to teach models to produce high quality output." https://
bit.ly/3J7xWae -
LLM Hallucinations: When 95% Accuracy Is Not Enough
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“largely eliminated” to me means “not really a problem anymore”; as noted, 5% error is tolerable in some domains, intolerable others. to take another example JPMPC can’t replace online banking powered by a database with chatbot that is 95% correct and 5% hallucinatory
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Do AI Systems Hallucinate? Evaluating Truthfulness and Reliability
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Let’s say you have a system that presents as if it can write biographies, summarize articles, interact w users, generate reports, etc. You can then ask two questions – Does the system invent stuff that isn’t true in the course of carrying out those functions? – Is the system