​I’ve tested dozens of AI chatbots since ChatGPT’s debut. Here’s my new top pickDesigned by Anish Singh Walia in Canva Since the launch of ChatGPT, AI chatbots have been all of the rage because of their ability to do a wide range of tasks that can help… Read More »Top Free AI Chatbots: The Best Free ChatGPT Alternatives Anish Singh Walia Becoming Human: Artificial Intelligence Magazine – Medium

​ Natural Language Processing (NLP) involves various techniques to handle and analyze human language data. In this blog, we will explore three essential techniques: tokenization, stemming, and lemmatization. These techniques are foundational for many NLP applications, such as text preprocessing, sentiment analysis, and machine translation.… Read More »Understanding Tokenization, Stemming, and Lemmatization in NLP Ravjot Singh Becoming Human: Artificial Intelligence Magazine – Medium

​[[{“value”:” Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows,… Read More »Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight Jacky Wu AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for customer service, virtual assistants, content generation, and much more. However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation,… Read More »Build safe and responsible generative AI applications with guardrails Harel Gal AWS Machine Learning Blog

​[[{“value”:” Amazon Bedrock has enabled customers to build new delightful experiences for their customers using generative artificial intelligence (AI). Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere,… Read More »Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch Peter Geng AWS Machine Learning Blog

​[[{“value”:” Introduction Here’s a something that new machine learning practitioners figure out almost immediately: not all datasets are created equal. It may now seem obvious to you, but had you considered this before undertaking machine learning projects on a real world dataset? As an example… Read More »5 Effective Ways to Handle Imbalanced Data in Machine Learning Matthew Mayo MachineLearningMastery.com

​[[{“value”:” Retrieval-Augmented Generation (RAG) methods enhance the capabilities of large language models (LLMs) by incorporating external knowledge retrieved from vast corpora. This approach is particularly beneficial for open-domain question answering, where detailed and accurate responses are crucial. By leveraging external information, RAG systems can overcome… Read More »LongRAG: A New Artificial Intelligence AI Framework that Combines RAG with Long-Context LLMs to Enhance Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As AI continues to advance at a rapid pace, developers are increasingly turning to AI Driven Development (AIDD) to build more intelligent and adaptive applications. However, using natural language prompts to describe complex behaviors to AI can be a real challenge. While natural language… Read More »Unlocking the Power of AI Driven Development with SudoLang Eric Elliott AI & ML – Radar

​[[{“value”:” In today’s rapidly advancing technological world, efficiently managing complex tasks is a significant challenge. Breaking down extensive objectives into manageable parts and coordinating multiple processes to achieve a cohesive final output can be daunting. This task management problem becomes even more pronounced when working… Read More »Meet Maestro: An AI Framework for Claude Opus, GPT and Local LLMs to Orchestrate Subagents Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Sleep is a vital physiological process that is intricately linked to overall health. However, accurately assessing sleep and diagnosing sleep disorders remains a complex task due to the need for multi-modal data interpretation, typically obtained through polysomnography (PSG). Current methods for sleep monitoring and… Read More »Researchers at Stanford University Propose SleepFM: The First Multi-Modal Foundation Model for Sleep Analysis Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost