Remove AI Research Remove Artificial Intelligence Remove LLM
article thumbnail

Build an AI Research Assistant Using CrewAI and Composio

Analytics Vidhya

Introduction With every iteration of the LLM development, we are nearing the age of AI agents. On an enterprise […] The post Build an AI Research Assistant Using CrewAI and Composio appeared first on Analytics Vidhya.

article thumbnail

AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

AI Weekly

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. politico.eu politico.eu

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

This AI Research Introduces ‘RAFA’: A Principled Artificial Intelligence Framework for Autonomous LLM Agents with Provable Sample Efficiency

Marktechpost

Within a Bayesian adaptive MDP paradigm, they formally describe how to reason and act with LLMs. Similarly, they instruct LLMs to learn a more accurate posterior distribution over the unknown environment by consulting the memory buffer and designing a series of actions that will maximize some value function. We are also on WhatsApp.

article thumbnail

This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster

Marktechpost

Recognizing the urgent need to optimize the decoding process, researchers have explored techniques to streamline and accelerate attention operation, a crucial component in generating coherent and contextually relevant text. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

article thumbnail

Meta AI Researchers Introduce RA-DIT: A New Artificial Intelligence Approach to Retrofitting Language Models with Enhanced Retrieval Capabilities for Knowledge-Intensive Tasks

Marktechpost

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

article thumbnail

Crossing Modalities: The Innovative Artificial Intelligence Approach to Jailbreaking LLMs with Visual Cues

Marktechpost

A team of researchers from Xidian University, Xi’an Jiaotong University, Wormpex AI Research, and Meta propose a novel method that introduces a visual modality to the target LLM, creating a multimodal large language model (MLLM). If you like our work, you will love our newsletter.

article thumbnail

How Can We Effectively Compress Large Language Models with One-Bit Weights? This Artificial Intelligence Research Proposes PB-LLM: Exploring the Potential of Partially-Binarized LLMs

Marktechpost

In Large Language Models (LLMs), Partially-Binarized LLMs (PB-LLM) is a cutting-edge technique for achieving extreme low-bit quantization in LLMs without sacrificing language reasoning capabilities. PB-LLM strategically filters salient weights during binarization, reserving them for higher-bit storage.