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AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization

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Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

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Researchers from Meta Fundamental AI Research (FAIR) have introduced the Open Materials 2024 (OMat24) dataset, which contains over 110 million DFT calculations, making it one of the largest publicly available datasets in this domain. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

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Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows

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Meet Katanemo Arch-Function, a collection of state-of-the-art (SOTA) LLMs designed for function calling tasks – that meet/beat frontier LLM performance, but… pic.twitter.com/IajF8w3syz — Salman Paracha (Building Intelligent Infra) (@salman_paracha) October 15, 2024 Check out the Hugging Face Model Card.

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CodeJudge: An Machine Learning Framework that Leverages LLMs to Evaluate Code Generation Without the Need for Test Cases

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Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. If you like our work, you will love our newsletter.

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aiXcoder-7B: A Lightweight and Efficient Large Language Model Offering High Accuracy in Code Completion Across Multiple Languages and Benchmarks

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Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. This technology significantly enhances productivity, enabling developers to write code faster and with fewer errors.

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Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets

Marktechpost

Researchers from Shanghai Artificial Intelligence Laboratory, The Chinese University of Hong Kong, ByteDance, and The University of Hong Kong characterize the scaling behavior of diffusion models for text-to-image synthesis, establishing explicit scaling laws for DiT. If you like our work, you will love our newsletter.

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IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

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Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post IBM Releases Granite 3.0