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Month: July 2024

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  • TaskGen: An Open-Sourced Agentic Framework that Uses an AI Agent to Solve an Arbitrary Task by Breaking it Down into Subtasks

TaskGen: An Open-Sourced Agentic Framework that Uses an AI Agent to Solve an Arbitrary Task by Breaking it Down into Subtasks

Current AI task management methods, such as AutoGPT, BabyAGI, and LangChain, typically rely on free-text outputs, which can be lengthy and less efficient. These frameworks often face challenges in maintaining…

This AI Paper from the Netherlands Introduce an AutoML Framework Designed to Synthesize End-to-End Multimodal Machine Learning ML Pipelines Efficiently

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a major obstacle that many current AutoML systems…

This AI Paper from Cohere AI Introduces a Multi-faceted Approach to AI Governance by Rethinking Compute Thresholds

As AI systems become more advanced, ensuring their safe and ethical deployment has become a critical concern for researchers and policymakers. One of the pressing issues in AI governance is…

Nvidia AI Releases Minitron 4B and 8B: A New Series of Small Language Models that are 40x Faster Model Training via Pruning and Distillation

Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis, and conversational AI. LLMs, characterized by…

Nvidia AI Proposes ChatQA 2: A Llama3-based Model for Enhanced Long-Context Understanding and RAG Capabilities

Long-context understanding and retrieval-augmented generation (RAG) in large language models (LLMs) is rapidly advancing, driven by the need for models that can handle extensive text inputs and provide accurate, efficient…

NVIDIA Prepares New AI Chip for China Amid Ongoing US Export Controls

One of the biggest beneficiaries of the AI boom, NVIDIA, is working on a version of its new flagship AI chips for the China market, according to a Reuters report.…

Researchers at Google Deepmind Introduce BOND: A Novel RLHF Method that Fine-Tunes the Policy via Online Distillation of the Best-of-N Sampling Distribution

Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large corpora, SFT,…

Intel Uses AI To Enable 8K Live Streaming of Olympic Games

With the opening ceremony for the Olympic Games in Paris only days away, the entire planet is preparing to watch their home teams square off in the greatest competition in…

Accenture Unveils Custom Llama LLM Models with NVIDIA AI

Accenture AI Refinery to enable organizations to create custom models, powered by NVIDIA, enabling Llama models to be trained on their enterprise data and personalized to business needs Accenture (NYSE:ACN)…

Zeb Achieves AWS Competency in Generative AI Services

zeb is excited to announce its achievement of the AWS Generative AI Services Competency and aims to work closely with clients to utilize Generative AI for enhancing productivity and efficiency, leading the…