We know that LLMs are more persuasive than most humans, this study offers some tentative reasons why that may be true: LLMs produce arguments that are MORE morallly charged than humans do, and which require more cognitive work from humans to understand https://
arxiv.org/pdf/2404.09329
.pdf
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LLMS
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Why LLMs Are More Persuasive Than Humans Study
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Upstage AI Raises $72M Series B for LLM Expansion
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#solarllm I'm thrilled to announce that @upstageai has raised $72 million in Series B, bringing the total funding to $100 million. This funding will support the company's expansion in the US and Asia to make purpose-trained LLMs accessible to everyone.
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Gemini’s Published Content Gap: A Tech Industry Observation
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as the semi-serious joke goes: if they published it, its not in gemini
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Ultra Model’s Context Length Limitations and Future Improvements
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The context length on Ultra is strangely short. Hoping some of the million-token tech on 1.5 Pro makes its way into the bigger model soon.
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Few-shot learning enhances fine-tuned model performance
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Never underestimate the power of few-shot on top of fine-tuned models
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Adobe AI Video, Instagram Bots, Claude Integration, Reka Model
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Top stories in AI today: -Adobe previews AI video features
-Instagram tests AI-powered creator bots
-Integrate the power of Claude in Google Sheets
-Reka releases new Core AI model
-5 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/adobes-ai-vi
deo-magic
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Building a Wirecutter for AI Model Reviews and Evaluation
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I love this idea. Kind of like @wirecutter for models. At least for a little while, human reviewers might be needed. LLM-as-judge might be a bit too brittle for this. If anyone is working on this, let me know. Very interested in supporting.
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Improve Fine-Tuned Models With Few-Shot Data Generation
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High alpha trick to improve your fine-tuned models: Step 1: fine-tune your model on the data you have, do RLHF, whatever you want to do
Step 2: choose some of the best examples you have, and few-shot your model with those examples to generate more
Step 3: train on those! -

WizardLM 8x22B Removed from HuggingFace: What Happened?
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The official WizardLM 8x22B was removed from HuggingFace, and the blog post link is 404ing. What is going on?