​[[{“value”:” One of the most difficult challenges in translation is simultaneous speech translation (SiST). The ability to translate spoken words into another language in real time is known as simultaneous speech translation, and it paves the way for instantaneous communication across language barriers. There has… Read More »Bytedance Researchers Present Cross Language Agent – Simultaneous Interpretation (CLASI): A High-Quality And Human-Like Simultaneous Speech Translation (SiST) System Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) is significantly developing at a pace that is transforming many different industries. AI agents created to automate and simplify many parts of business processes are among the most intriguing recent advances. These agents, which may be divided into three categories: Planning… Read More »The Evolution of Artificial Intelligence (AI) Agents: Workflow, Planning, and Matrix Agents Leading Enterprise Automation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:”This paper was accepted at the Workshop Towards Knowledgeable Language Models 2024. Large Language Models (LLMs) might hallucinate facts, while curated Knowledge Graph (KGs) are typically factually reliable especially with domain-specific knowledge. Measuring the alignment between KGs and LLMs can effectively probe the factualness and… Read More »KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs Apple Machine Learning Research

​Large language models are trained on massive scrapes of the web, which are often unstructured, noisy, and poorly phrased. Current scaling laws show that learning from such data requires an abundance of both compute and data, which grows with the size of the model being… Read More »Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling Apple Machine Learning Research

​[[{“value”:” BRAG is a series of high-performance Retrieval Augmented Generation (RAG) models developed by Maximalists AI Researcher. The BRAG models are a family of small language models (SLMs) designed to offer cost-effective, high-performance alternatives in AI-driven language processing. These models have been trained at an… Read More »BRAG Released: High-Performance SLMs (Small Language Models) Specifically Trained for RAG Tasks Under $25 Each Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Retrieval Augmented Generation (RAG) is a state-of-the-art approach to building question answering systems that combines the strengths of retrieval and foundation models (FMs). RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer… Read More »Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation Sandeep Singh AWS Machine Learning Blog

​[[{“value”:” In recent years, we have seen a big increase in the size of large language models (LLMs) used to solve natural language processing (NLP) tasks such as question answering and text summarization. Larger models with more parameters, which are in the order of hundreds… Read More »Faster LLMs with speculative decoding and AWS Inferentia2 Syl Taylor AWS Machine Learning Blog

​[[{“value”:” Information retrieval systems have powered the information age through their ability to crawl and sift through massive amounts of data and quickly return accurate and relevant results. These systems, such as search engines and databases, typically work by indexing on keywords and fields contained… Read More »Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock Nolan Chen AWS Machine Learning Blog

​ The clock strikes 3 AM. A potential buyer is browsing your website, eager to make a purchase, but they have a question. Your support team is fast asleep, and the sale slips away. Sound familiar? Today’s consumers expect instant gratification, and companies are feeling… Read More »Can Chatbots Reduce Business Costs Dramatically? Expert Opinion and Insights Master Of Code Global Chatbots Life – Medium

​[[{“value”:” Large Language Models (LLMs) have revolutionized problem-solving in machine learning, shifting the paradigm from traditional end-to-end training to utilizing pretrained models with carefully crafted prompts. This transition presents a fascinating dichotomy in optimization approaches. Conventional methods involve training neural networks from scratch using gradient… Read More »This AI Paper Introduces a Verbalized Way to Perform Machine Learning and Conducts Several Case Studies on Regression and Classification Tasks Mohammad Asjad Artificial Intelligence Category – MarkTechPost