​ Large language models (LLMs) have excelled in a wide range of NLP tasks and have shown encouraging evidence of achieving some features of artificial general intelligence. Recent research has also revealed the possibility of supplementing LLMs with outside tools, considerably increasing their problem-solving powers… Read More »We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A Closed-Loop System Allowing LLMs To Make Their Own Reusable Tools Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ At the COMPUTEX 2023 trade expo, technology giant Nvidia revealed a demo of its NVIDIA Avatar Cloud Engine (ACE) for Games, demonstrating the power of AI in games on a massive screen. The demo featured a computer-generated image of a cyberpunk ramen cafe, complete… Read More »Nvidia Announced Real-Time AI NPCs In Video Games Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ With the release of OpenAI’s new GPT 4, multimodality in Large Language Models has been introduced. Unlike the previous version, GPT 3.5, which is only used to let the well-known ChatGPT take textual inputs, the latest GPT-4 accepts text as well as images as… Read More »CMU Researchers Propose GILL: An AI Method To Fuse LLMs With Image Encoder And Decoder Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ A critical component of business success is the ability to connect with customers. Businesses today want to connect with their customers by offering their content across multiple languages in real time. For most customers, the content creation process is disconnected from the localization effort… Read More »Translate documents in real time with Amazon Translate Sathya Balakrishnan AWS Machine Learning Blog

​ Running machine learning (ML) workloads with containers is becoming a common practice. Containers can fully encapsulate not just your training code, but the entire dependency stack down to the hardware libraries and drivers. What you get is an ML development environment that is consistent… Read More »Scale your machine learning workloads on Amazon ECS powered by AWS Trainium instances Guilherme Ricci AWS Machine Learning Blog

​ PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. One of the primary reasons that customers are choosing a PyTorch framework is its simplicity and the fact that it’s designed… Read More »Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend Neelam Koshiya AWS Machine Learning Blog

​ The Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning (ML) models on Amazon SageMaker. Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t… Read More »Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK Giuseppe Angelo Porcelli AWS Machine Learning Blog

​ Researchers at MIT have formulated a method to eradicate bias in trace-driven simulation, an approach quite regularly used by scientists and analysts to devise algorithms for various use cases. Using machine learning algorithms and statistics that rely on causality principles, the tool called CasualSim… Read More »MIT Researchers Developed an AI Tool that Eliminates a Source of Bias in Simulations, Leading to Improved Algorithms that can Boost the Performance of an Application Anant shahi Artificial Intelligence Category – MarkTechPost

​Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one little step at a time — editing, running unit tests, fixing build errors, addressing code reviews, editing some more, appeasing linters, and… Read More »Large sequence models for software development activities Google AI Google AI Blog