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This is for live stream: https://www.youtube.com/watch?v=t2jUEgj3GyE

we will explore the new app that I built which can read arXiv papers, wikiepdia articles or custom provided knowledge and generates novel and original ideas based on essential information extracted from knowledge base.

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GPT-4 Scientist generates original ideas from research

we will explore the new app that I built which can read arXiv papers, Wikipedia articles or custom provided knowledge and generates novel and original ideas based on essential information extracted from knowledge base. Code files for this video: https://www.patreon.com/posts/code-files-for-4-86157771 Search all my videos at: https://www.echohive.live/ Try the LLM paper summarizer: https://llmpapers.up.railway.app/ CHAPTERS: 00: 00:00 Countdown 00: 03:17 Demo 00: 20:50 Running the code line by line 00: 27:15 Function definiton 01:05:36 Tenacity retry #gpt4 #scientist #pythonprojects #openaiapi #openai #newideas #gpt4tutorial

Comments

Michal Babula

I tested your code and compered the results to chatGPT4, code interpreter and playground GPT4 - and the results using your code were the best.

echohive42

I appreciate the feedback. I want to improve the gpt scientist as well. One step at a time I guess.

Michal Babula

Claude 2 and Llama 2 failed. At the moment your approach toward LLMs sims the best - GPT4 for decision making, coding, logic - GPT3.5 16K for text summary.

echohive42

Thank you 🙏 I am happy to hear that and appreciate the kind words. I will work hard to make even better apps 🙂