Zero and Few Shot Recommender Systems based on Large Language Models https://
bit.ly/42TPcHS #AI #MachineLearning #DeepLearning #LLMs #DataScience
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Zero and Few Shot Recommender Systems with Large Language Models
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Segmentation technique pour optimiser ControlNet dans la génération d’images
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One thing you can try is to just use segmentation to isolate the background and process it independent of the foreground — then composite them together. That way you can really refine the multi-controlnet settings for the background.
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Machine Learning with ChatGPT: Top Posts and Open-Source Alternatives
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Top Posts May 1-7: Machine Learning with ChatGPT Cheat Sheet: Machine Learning with ChatGPT Cheat Sheet • HuggingChat Python API: Your No-Cost Alternative • AutoGPT: Everything You Need To Know • 8 Open-Source Alternative to ChatGPT and Bard •… https://
kdnuggets.com/2023/05/top-po
sts-week-0501-0507.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=top-posts-may-1-7-machine-learning-with-chatgpt-cheat-sheet
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5 AI Tools to Maximize Data Science Productivity
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5 tools to use to maximize your data science productivity 1) ChatGPT by OpenAI
2) Bard AI
3) Generate Presentations – @BeautifulAI_ 4) Meeting summarizer – @tldview 5) Generate synthetic data using Gen. AI – @gretel_ai -
Fine-Grained RLHF Improves LM Training and Safety
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7/ Fine-Grained RLHF – trains LMs with fine-grained human feedback; instead of using overall preference, more explicit feedback is provided at the segment level which helps to improve efficacy on long-form question answering and reduces toxicity.
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Top ML Papers Week: AlphaDev, MusicGen, RLHF Advances
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Top ML Papers of the Week (June 5-11): – AlphaDev
– MusicGen
– Fine-Grained RLHF
– Humor in ChatGPT
– Concept Scrubbing in LLM
– Augmenting LLMs with Databases
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System Converting LLM Output into Checkable Queries
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Sure, a system that could systematically and reliably turn LLM output (or other text) into checkable queries like that would be useful.
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Documenting Generative AI Outputs: Methodology and Presentation
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But why? It seems to me that the generative output would be the equivalent of stimuli. You describe where they came from and then provide the actual outputs in an appendix.
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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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Guidance: Advanced Control Flow for Language Models
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Guidance enables you to control modern language models more effectively and efficiently than traditional prompting or chaining. Guidance programs allow you to interleave generation, prompting, and logical control into a single continuous flow https://
bit.ly/3J5lJCY