​[[{“value”:”*Equal Contributors Current multimodal and multitask foundation models like 4M or UnifiedIO show promising results, but in practice their out-of-the-box abilities to accept diverse inputs and perform diverse tasks are limited by the (usually rather small) number of modalities and tasks they are trained on.… Read More »4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities Apple Machine Learning Research

​[[{“value”:” The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. With the latest PyTorch 2.5 release, the team aims to address several challenges faced by the ML… Read More »PyTorch 2.5 Released: Advancing Machine Learning Efficiency and Scalability Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. During re:Invent 2023, we launched AWS HealthScribe, a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech… Read More »Using Amazon Q Business with AWS HealthScribe to gain insights from patient consultations Laura Salinas AWS Machine Learning Blog

​[[{“value”:” Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. SageMaker Studio offers a suite of integrated development environments (IDEs), which includes JupyterLab, Code Editor, as well as RStudio. Data scientists and ML engineers can spin up SageMaker Studio… Read More »Use Amazon SageMaker Studio with a custom file system in Amazon EFS Irene Arroyo Delgado AWS Machine Learning Blog

​[[{“value”:” Given the volume of meetings, interviews, and customer interactions in modern business environments, audio recordings play a crucial role in capturing valuable information. Manually transcribing and summarizing these recordings can be a time-consuming and tedious task. Fortunately, advancements in generative AI and automatic speech… Read More »Summarize call transcriptions securely with Amazon Transcribe and Amazon Bedrock Guardrails Yash Yamsanwar AWS Machine Learning Blog

​[[{“value”:” One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems. Enterprises struggle with the cumbersome nature of configuring… Read More »Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable proficiency in In-Context Learning (ICL), which is a technique that teaches them to complete tasks using just a few examples included in the input prompt and no further training. One of the primary features of ICL is… Read More »How Large Language Models (LLMs) can Perform Multiple, Computationally Distinct In-Context Learning (ICL) Tasks Simultaneously Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” There is a growing demand for embedding models that balance accuracy, efficiency, and versatility. Existing models often struggle to achieve this balance, especially in scenarios ranging from low-resource applications to large-scale deployments. The need for more efficient, high-quality embeddings has driven the development of… Read More »From ONNX to Static Embeddings: What Makes Sentence Transformers v3.2.0 a Game-Changer? Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used.… Read More »Google AI Researchers Propose ‘MODEL SWARMS’: A Collaborative Search Algorithm to Flexibly Adapt Diverse LLM Experts to Wide-Ranging Purposes Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. However, with increased complexity, providing a quality assessment of… Read More »CodeJudge: An Machine Learning Framework that Leverages LLMs to Evaluate Code Generation Without the Need for Test Cases Afeerah Naseem Artificial Intelligence Category – MarkTechPost