Say goodbye to stock photos. Generate your own realistic AI images with ChatGPT. Here are 5 prompts to generate realistic images with ChatGPT: (1/ Prompt: phone photo of guy at the office, late night shift, shared online –style raw –s 0 –ar 9:16)
GENERATIVE AI
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Future potential for AI avatar interviews
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In a couple years you might be able to interview their avatars
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Global poverty, AI, healthcare, and US economic indicators analysis
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Global poverty, global income and wealth, global health, AI and computer power, vaccines and healthcare more broadly, real wages in the United States, crime in the United States, wages of working class people in the United States, inflation in the United States, particulate
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AI’s Role in Writing Explored in Fascinating Interview Section
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The whole section in this interview on AI and writing is really fascinating
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Science Publishes GPT Article: Major Credibility Issue
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I'm sorry to report that one of the articles (GPTs are GPTs) we discuss in this episode has been published in Science. I have tons of respect for @aaas but this is a huge miss. On the upside, if you'd like to be entertained for an hour about why, here you go:
— @emilymbender.bsky.social (@emilymbender) 23 juin 2024
w/@alexhanna https://t.co/CRtFGAMRW9I'm sorry to report that one of the articles (GPTs are GPTs) we discuss in this episode has been published in Science. I have tons of respect for @aaas but this is a huge miss. On the upside, if you'd like to be entertained for an hour about why, here you go: w/
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Open-Sora: Open-Source Video Generation Model Supports Image-to-Video
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9/ Open-Sora – an open-source video generation model that can generate 16-second 720p videos; it’s a 1.1B parameter model trained on more than 30m data and now supports image-to-video.https://t.co/eZO4A3uf2e
— DAIR.AI (@dair_ai) 23 juin 20249/ Open-Sora – an open-source video generation model that can generate 16-second 720p videos; it’s a 1.1B parameter model trained on more than 30m data and now supports image-to-video.
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Monte Carlo Tree Search Achieves GPT-4 Level Mathematical Problem Solving
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7/ Monte Carlos Tree Self-Refine – report to have achieved GPT-4 level mathematical olympiad solution using an approach that integrates LLMs with Monte Carlo Tree Search;
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PlanRAG: Iterative Plan-Then-RAG for Enhanced Decision Making
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5/ PlanRAG – enhances decision making with a new RAG technique called iterative plan-then-RAG (PlanRAG); involves two steps: 1) an LM generates the plan for decision making by examining data schema and questions and 2) the retriever generates the queries for data analysis; the
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Goldfish Loss: Mitigating Memorization in Large Language Models
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6/ Mitigating Memorization in LLMs – presents a modification of the next-token prediction objective called goldfish loss to help mitigate the verbatim generation of memorized training data.
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Long-Context LLMs Performance Analysis on Retrieval and Reasoning
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4/ Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? – conducts a deep performance analysis of long-context LLMs on in-context retrieval and reasoning; they first present a benchmark with real-world tasks requiring 1M token context.