​[[{“value”:” With the widespread adoption of generative artificial intelligence (AI) solutions, organizations are trying to use these technologies to make their teams more productive. One exciting use case is enabling natural language interactions with relational databases. Rather than writing complex SQL queries, you can describe… Read More »Use everyday language to search and retrieve data with Mixtral 8x7B on Amazon SageMaker JumpStart Jose Navarro AWS Machine Learning Blog

​[[{“value”:” In January 2024, Amazon SageMaker launched a new version (0.26.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs). This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for… Read More »Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers Joao Moura AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Conversing with Gemini Pro: Crafting and Debugging PyTorch Code Through AI Dialogue Introduction to Chat with Gemini Pro Recap of Previous Lessons Leveraging Conversational AI with Gemini Pro for Coding Exploring Gemini Pro as a Conversational AI What to Expect:… Read More »Conversing with Gemini Pro: Crafting and Debugging PyTorch Code Through AI Dialogue Aditya Sharma PyImageSearch

​[[{“value”:” Navigating through the intricate landscape of speech separation, researchers have continually sought to refine the clarity and intelligibility of audio in bustling environments. This endeavor has been met with several methodologies, each with strengths and shortcomings. Amidst this pursuit, the emergence of State-Space Models… Read More »Researchers at Tsinghua University Propose SPMamba: A Novel AI Architecture Rooted in State-Space Models for Enhanced Audio Clarity in Multi-Speaker Environments Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In Large Language Models (LLMs), reasoning involves dissecting a problem’s logical structure and turning it into a sequence of logical steps that lead to a solution. For LLMs, this procedure has proven difficult, particularly in algorithmic reasoning where intricate logical patterns must be interpreted… Read More »‘Think-and-Execute’: A Machine Learning Framework that Encapsulates the Common Logical Structure of a Job Using Pseudocode for Efficient Reasoning in Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) like GPT-4 have become indispensable tools for developers and data scientists looking to leverage cutting-edge AI capabilities. However, navigating the complexities of developing, deploying, and managing LLM-powered applications can be daunting without the right tools. To address this, let’s delve… Read More »Top AI Tools to Build Your Large Language Models (LLMs) Apps Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The world of artificial intelligence has been abuzz with the remarkable achievements of Large Language Models (LLMs) like GPT, PaLM, and LLaMA. These models have demonstrated an impressive understanding and generation of natural language, signaling a promising step toward artificial general intelligence. However, while… Read More »ST-LLM: An Effective Video-LLM Baseline with Spatial-Temporal Sequence Modeling Inside LLM Vibhanshu Patidar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the data management and retrieval landscape, vector databases have emerged as a revolutionary force, transforming how businesses and tech enthusiasts harness the power of complex, high-dimensional data. Let’s delve into the intricacies of vector databases, shedding light on their real-world applications and their… Read More »The Ultimate Guide to Vector Databases: Use Cases and Industry Impact Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the growing complexity of large language models (LLMs), making them easily runnable on everyday hardware is a notable challenge. This need is apparent for individuals and organizations that seek the benefits of LLMs without the high cost or technical barrier often associated with… Read More »Meet IPEX-LLM: A PyTorch Library for Running LLMs on Intel CPU and GPU Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In document processing, particularly visually rich documents (VRDs), the need for efficient information extraction (IE) has become increasingly critical. VRDs, such as invoices, utility bills, and insurance quotes, are ubiquitous in business workflows, often presenting similar information in varying layouts and formats. Automating the… Read More »Google AI Researchers Propose a Noise-Aware Training Method (NAT) for Layout-Aware Language Models Mohammad Arshad Artificial Intelligence Category – MarkTechPost