Another great feature of #ChatGPT4 is its ability to learn and adapt to new information. The more you interact with it, the smarter it gets! #MachineLearning #AIAssistant
LLMS
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ChatGPT4 Generates Stories, Poems, and Code Creatively
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What's really cool about #ChatGPT4 is that it can not only understand language but also generate it. That means it can write stories, poems, and even code! #CreativeAI #NLG
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ChatGPT4 Trained on Massive Data for Human-Like Responses
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ChatGPT4 has been trained on a massive amount of data and can generate human-like responses to a wide range of prompts, from casual conversation to complex technical questions. #AI #NaturalLanguageProcessing #NLP
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ChatGPT4: OpenAI’s Latest Language Model Capabilities
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Hey everyone! Have you heard about #ChatGPT4? It's the latest and greatest language model from OpenAI, and I'm excited to tell you about its amazing capabilities!
#ChatGPT #OpenAI #AI -
Free ChatGPT Alternatives: Writier, Chatsonic, DeepL Compared
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[ACCÉLÉRER] #Writier, #Chatsonic, #DeepL… les meilleurs alternatives gratuites à #ChatGPT https://
buff.ly/3GneVzl v/ @Numerama Si l'#IA d'#OpenAI focalise toute l'attention, d'autres outils très puissants se sont développéss à sa marge #Startup #FlashTweet -
GPT as Programmable Text Computer: Memory Analysis Analogy
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The analogy between GPTs of today to the CPUs of early days of computing are interesting. GPT is a funny kind of programmable text computer. Have to think through it more but e.g.: ## Memory
GPT-4 RAM is ~log2(50K vocab size)*(32K context length)/(8 bits/byte) ~= 64kB, -
LLM Agents Learning from Experience for Long-Term Planning
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Great analysis of the current state of LLM-driven autonomous agents (what works, what doesn't work) IMHO, the next steps are autonomous: learning from experience and then using this synthetic data to fine-tune LLM to be better at following long-term plans, thinking in the loop,
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OpenAI Takes Fun GPT-4 Newsletter Report
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wrote a bit about it in my newsletter this week https://
thepromptreport.com/p/report-7-ope
nai-took-fun-gpt4
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Building Self-Learning Web Search Agents with RLHF Fine-Tuning
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Start w few tools to figure out what works/doesn’t. Use that knowledge to build a web search agent that can figure it out on its own. Use this to build an auto-updating db of all possible tools w documentation. Then fine tune a model w RLHF to decide which tool to use.
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Energy Efficiency in AI Training and Inference
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Yes, this did come up. When it comes to energy efficiency, in terms of training and inference, there is clearly no contest.