​[[{“value”:” Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy,… Read More »Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock Oussama Kandakji AWS Machine Learning Blog

​[[{“value”:” AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. This becomes increasingly important with artificial intelligence (AI) development because of the data assets that need to be protected. Transmitting data across the internet is not secure enough… Read More »Connect to Amazon services using AWS PrivateLink in Amazon SageMaker Francisco Calderon Rodriguez AWS Machine Learning Blog

​[[{“value”:” In the rapidly advancing field of Artificial Intelligence (AI), effective use of web data can lead to unique applications and insights. A recent tweet has brought attention to Firecrawl, a potent tool in this field created by the Mendable AI team. Firecrawl is a… Read More »Firecrawl: A Powerful Web Scraping Tool for Turning Websites into Large Language Model (LLM) Ready Markdown or Structured Data Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Fireworks AI releases Firefunction-v2, an open-source function-calling model designed to excel in real-world applications. It integrates with multi-turn conversations, instruction following, and parallel function calling. Firefunction-v2 offers a robust and efficient solution that rivals high-end models like GPT-4o but at a fraction of the… Read More »Fireworks AI Releases Firefunction-v2: An Open Weights Function Calling Model with Function Calling Capability on Par with GPT4o at 2.5x the Speed and 10% of the Cost Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As a data professional, you should also know how to build predictive models with machine learning to solve business problems. And if you’re interested in machine learning, you’re probably also looking for the best resources to get going. Well, you can always choose a… Read More »5 Free YouTube Channels Dedicated to Machine Learning Education Bala Priya C MachineLearningMastery.com

​[[{“value”:” Researchers from Microsoft, the University of Massachusetts, Amherst, and the University of Maryland, College Park, address the challenge of understanding how Retrieval Augmented Generation (RAG) impacts language models’ reasoning and factual accuracy (LMs). The study focuses on whether LMs rely more on the external… Read More »Unveiling the Shortcuts: How Retrieval Augmented Generation (RAG) Influences Language Model Behavior and Memory Utilization Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Managing pull requests can be time-consuming and challenging for development teams. Reviewing code changes, ensuring compliance, updating documentation, and maintaining consistent quality are essential but demanding tasks. The complexity increases with the size and frequency of pull requests, often leading to delays and bottlenecks… Read More »CodiumAI PR-Agent: An AI-Powered Tool for Automated Pull Request Analysis, Feedback, Suggestions and More Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Given the present state of the economy, data teams must ensure that they get the most out of their Snowflake investment. The primary function of Snowflake is that of a data warehouse. Data teams can store and handle data with this cloud-based solution. A… Read More »Meet Baselit: An AI-Powered Startup that Automatically Optimizes Snowflake Costs with Zero Human Effort Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large open-source pre-training datasets are important for the research community in exploring data engineering and developing transparent, open-source models. However, there’s a major shift from frontier labs to training large multimodal models (LMMs) that need large datasets containing both images and texts. The capabilities… Read More »MINT-1T: An Open-Source Trillion Token Multimodal Interleaved Dataset and a Key Component for Training Large Multimodal Models LMMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta’s Fundamental AI Research (FAIR) team has announced several significant advancements in artificial intelligence research, models, and datasets. These contributions, grounded in openness, collaboration, excellence, and scale principles, aim to foster innovation and responsible AI development. Meta FAIR has released six major research artifacts,… Read More »Meta FAIR’s Groundbreaking AI Releases: Enhancing Creativity, Efficiency, and Responsibility in Open Science AI Research and Development Asif Razzaq Artificial Intelligence Category – MarkTechPost