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In recent times, large language models (LLMs) built on the Transformer architecture have shown remarkable abilities across a wide range of tasks. However, these impressive capabilities usually come with a significant increase in model size, resulting in substantial GPU memory costs during inference. The KV cache is a popular method used in LLM inference. It… Read more

The Evidence Lower Bound (ELBO) is a key objective for training generative models like Variational Autoencoders (VAEs). It parallels neuroscience, aligning with the Free Energy Principle (FEP) for brain function. This shared objective hints at a potential unified machine learning and neuroscience theory. However, both ELBO and FEP lack prescriptive specificity, partly due to limitations… Read more

Jennifer Doudna, one of the inventors of the breakthrough gene-editing tool CRISPR, says the technology will help the world grapple with the growing risks of climate change by delivering crops and animals better suited to hotter, drier, wetter, or weirder conditions. “The potential is huge,” says Doudna, who shared the 2020 Nobel Prize in chemistry… Read more

The ability to generate accurate conclusions based on data inputs is essential for strong reasoning and dependable performance in Artificial Intelligence (AI) systems. The softmax function is a crucial element that supports this functionality in modern AI models. A major component of differentiable query-key lookups is the softmax function, which enables the model to concentrate… Read more

Multimodal Retrieval Augmented Generation (RAG) technology has opened new possibilities for artificial intelligence (AI) applications in manufacturing, engineering, and maintenance industries. These fields rely heavily on documents that combine complex text and images, including manuals, technical diagrams, and schematics. AI systems capable of interpreting both text and visuals have the potential to support intricate, industry-specific… Read more

Promptfoo is a command-line interface (CLI) and library designed to enhance the evaluation and security of large language model (LLM) applications. It enables users to create robust prompts, model configurations, and retrieval-augmented generation (RAG) systems through use-case-specific benchmarks. This tool supports automated red teaming and penetration testing to ensure application security. Moreover, promptfoo accelerates evaluation… Read more

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Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. With advancements in transformer-based models, large language models (LLMs) have shown impressive English NLP capabilities, enabling applications ranging from text summarization and sentiment analysis to complex reasoning tasks. However, NLP for Hindi still needs to be improved, mainly due to… Read more

Meta unveils three tools and benchmarks to enhance robot touch perception, dexterity, and human-robot collaboration in real-world settings.Read More Read more

In the rapidly evolving world of artificial intelligence and machine learning, the demand for powerful, flexible, and open-access solutions has grown immensely. Developers, researchers, and tech enthusiasts frequently face challenges when it comes to leveraging cutting-edge technology without being constrained by closed ecosystems. Many of the existing language models, even the most popular ones, often… Read more