​[[{“value”:” In the ever-evolving landscape of machine learning and artificial intelligence (AI), large language models (LLMs) have emerged as powerful tools for a wide range of natural language processing (NLP) tasks, including code generation. Among these cutting-edge models, Code Llama 70B stands out as a… Read More »Code generation using Code Llama 70B and Mixtral 8x7B on Amazon SageMaker Shikhar Kwatra AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) have shown promise in powering autonomous agents that control computer interfaces to accomplish human tasks. However, without fine-tuning on human-collected task demonstrations, the performance of these agents remains relatively low. A key challenge lies in developing viable approaches to build… Read More »From Low-Level to High-Level Tasks: Scaling Fine-Tuning with the ANDROIDCONTROL Dataset Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” GitLab offers AI features like code suggestions, vulnerability explanations, and DevSecOps automation, which streamline development processes. These features leverage AI to enhance code quality, improve security, and accelerate deployment. GitLab’s AI courses provide practical guidance on utilizing these features effectively, enabling developers to leverage… Read More »Top Artificial Intelligence AI Courses from GitLab Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developers frequently encounter the issue of AI-generated code not working as expected. AI language models can produce code snippets, but these often require multiple rounds of debugging and refinement. This slows down the development, making the process time-consuming.  Traditional tools and methods offer some… Read More »Micro Agent: An AI Agent that Writes and Fixes Code for You Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s information age, finding specific information you need can feel like searching for a needle in a haystack. Search engines act as a powerful tool for saving time and effort. Despite having access to a vast amount of information, existing search engines fail… Read More »Perplexica: The Open-Source Solution Replicating Billion Dollar Perplexity for AI Search Tools Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Deep learning methods excel in detecting cardiovascular diseases from ECGs, matching or surpassing the diagnostic performance of healthcare professionals. However, due to a lack of interpretability, their “black-box” nature limits clinical adoption. Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt… Read More »xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) research has long aimed to develop agents capable of performing various tasks across diverse environments. These agents are designed to exhibit human-like learning and adaptability, continuously evolving through interaction and feedback. The ultimate goal is to create versatile AI systems that… Read More »From Limited Tasks to General AI: AGENTGYM Evolves Agents with Diverse Environments and Autonomous Learning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In large language models (LLMs), choosing the right inference backend for serving LLMs is important. The performance and efficiency of these backends directly impact user experience and operational costs. A recent benchmark study conducted by the BentoML engineering team offers valuable insights into the… Read More »A Comprehensive Study by BentoML on Benchmarking LLM Inference Backends: Performance Analysis of vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGI Asif Razzaq Artificial Intelligence Category – MarkTechPost

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