The Search for the Sweet Spot in a Linear Regression with Numeric Features Vinod Chugani MachineLearningMastery.com

[[{“value”:” Consistent with the principle of Occam’s razor, starting simple often leads to the most profound insights, especially when piecing together a predictive model. In this post, using the Ames Housing Dataset, we will first pinpoint the key features that shine on their own. Then,… Read More »The Search for the Sweet Spot in a Linear Regression with Numeric Features Vinod Chugani MachineLearningMastery.com

Sarvam AI Releases Samvaad-Hi-v1 Dataset and Sarvam-2B: A 2 Billion Parameter Language Model with 4 Trillion Tokens Focused on 10 Indic Languages for Enhanced NLP Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Sarvam AI has recently unveiled its cutting-edge language model, Sarvam-2B. This powerful model, boasting 2 billion parameters, represents a significant stride in Indic language processing. With a focus on inclusivity and cultural representation, Sarvam-2B is pre-trained from scratch on a massive dataset of 4… Read More »Sarvam AI Releases Samvaad-Hi-v1 Dataset and Sarvam-2B: A 2 Billion Parameter Language Model with 4 Trillion Tokens Focused on 10 Indic Languages for Enhanced NLP Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Effective customer support, project management, and knowledge management are critical aspects of providing efficient customer relationship management. ServiceNow is a platform for incident tracking, knowledge management, and project management functions for software projects and has become an indispensable part of many organizations’ workflows to… Read More »Derive generative AI-powered insights from ServiceNow with Amazon Q Business Prabhakar Chandrasekaran AWS Machine Learning Blog

[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable effectiveness in addressing generic questions. An LLM can be fine-tuned using the company’s proprietary documents to utilize it for a company’s specific needs. However, this process is computationally intensive and has several limitations. Fine-tuning may lead to… Read More »Golden Retriever: An Agentic Retrieval Augmented Generation (RAG) Tool for Browsing and Querying Large Industrial Knowledge Stores More Effectively Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” Most advanced machine learning models, especially those achieving state-of-the-art results, require significant computational resources such as GPUs and TPUs. Deploying large models in resource-constrained environments like edge devices, mobile platforms, or other low-power hardware restricts the application of machine learning to cloud-based services or… Read More »ggml: A Machine learning (ML) Library Written in C and C++ with a Focus on Transformer Inference Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

[[{“value”:” The research field of Spiking Neural P (SNP) systems, a subset of membrane computing, explores computational models inspired by biological neurons. These systems simulate neuronal interactions using mathematical representations, closely mimicking natural neuronal processes. The complexity of these models makes them valuable for advancing… Read More »Optimizing Spiking Neural P Systems Simulations: Achieving Unprecedented Speed and Efficiency through Compressed Matrix Representations on GPUs Using CUDA Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large language models (LLMs) have given rise to Role-Playing Agents (RPAs), designed to simulate specific characters and interact with users or other characters. RPAs aim to provide emotional value and support sociological studies unlike AI productivity assistants, with applications ranging from emotional companions to… Read More »MMRole: A New Artificial Intelligence AI Framework for Developing and Evaluating Multimodal Role-Playing Agents Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” Organizations face challenges when dealing with unstructured data from various sources like forms, invoices, and receipts. This data, often stored in different formats, is difficult to process and extract meaningful information from, especially at scale. Traditional methods for handling such data are either too… Read More »Sparrow: An Innovative Open-Source Platform for Efficient Data Extraction and Processing from Various Documents and Images Niharika Singh Artificial Intelligence Category – MarkTechPost

[[{“value”:” The release of the HQQ Llama-3.1-70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Mobius Labs, known for its cutting-edge innovations, has positioned this model as a cornerstone… Read More »HQQ Llama-3.1-70B Released: A Groundbreaking AI Model that Achieves 99% of the Base Model Performance Across Various Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Cross-lingual code cloning has become an important and difficult job due to the rising complexity of modern software development, where numerous programming languages are typically employed inside a single project. The term ‘cross-lingual code clone detection’ describes the process of finding identical or nearly… Read More »Embeddings or LLMs: What’s Best for Detecting Code Clones Across Languages? Tanya Malhotra Artificial Intelligence Category – MarkTechPost