zetabyte

​[[{“value”:” Today, we are excited to announce that Pixtral 12B (pixtral-12b-2409), a state-of-the-art 12 billion parameter vision language model (VLM) from Mistral AI that excels in both text-only and multimodal tasks, is available for customers through Amazon Bedrock Marketplace. Amazon Bedrock Marketplace is a new… Read More »Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace Deepesh Dhapola AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents Partial Derivatives and Jacobian Matrix in Stochastic Gradient Descent Basics of Vector Calculus Vectors Differentiation of Univariate Functions What Are Derivatives? Derivatives of Common Functions Central Difference Formula Partial Derivatives and Gradients Multivariate Functions Partial Derivatives Gradients, aka Jacobian of… Read More »Partial Derivatives and Jacobian Matrix in Stochastic Gradient Descent Puneet Mangla PyImageSearch

​[[{“value”:” Modern data workflows are increasingly burdened by growing dataset sizes and the complexity of distributed processing. Many organizations find that traditional systems struggle with long processing times, memory constraints, and managing distributed tasks effectively. In this environment, data scientists and engineers often spend excessive… Read More »DeepSeek AI Releases Smallpond: A Lightweight Data Processing Framework Built on DuckDB and 3FS Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) are widely used in medicine, facilitating diagnostic decision-making, patient sorting, clinical reporting, and medical research workflows. Though they are exceedingly good in controlled medical testing, such as the United States Medical Licensing Examination (USMLE), their utility for real-world uses is… Read More »MedHELM: A Comprehensive Healthcare Benchmark to Evaluate Language Models on Real-World Clinical Tasks Using Real Electronic Health Records Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Creating charts that accurately reflect complex data remains a nuanced challenge in today’s data visualization landscape. Often, the task involves not only capturing precise layouts, colors, and text placements but also translating these visual details into code that reproduces the intended design. Traditional methods,… Read More »Researchers from UCLA, UC Merced and Adobe propose METAL: A Multi-Agent Framework that Divides the Task of Chart Generation into the Iterative Collaboration among Specialized Agents Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Methods like Chain-of-Thought (CoT) prompting have enhanced reasoning by breaking complex problems into sequential sub-steps. More recent advances, such as o1-like thinking modes, introduce capabilities, including trial-and-error, backtracking, correction, and iteration, to improve model performance on difficult problems. However, these improvements come with substantial… Read More »LightThinker: Dynamic Compression of Intermediate Thoughts for More Efficient LLM Reasoning Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have demonstrated strong reasoning capabilities in domains such as mathematics and coding, with models like ChatGPT, Claude, and Gemini gaining widespread attention. The release of GPT -4 has further intensified interest in enhancing reasoning abilities through improved inference techniques. A key challenge in… Read More »Self-Rewarding Reasoning in LLMs: Enhancing Autonomous Error Detection and Correction for Mathematical Reasoning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” DeepSeek’s recent update on its DeepSeek-V3/R1 inference system is generating buzz, yet for those who value genuine transparency, the announcement leaves much to be desired. While the company showcases impressive technical achievements, a closer look reveals selective disclosure and crucial omissions that call into… Read More »DeepSeek’s Latest Inference Release: A Transparent Open-Source Mirage? Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The processing requirements of LLMs pose considerable challenges, particularly for real-time uses where fast response time is vital. Processing each question afresh is time-consuming and inefficient, necessitating huge resources. AI service providers overcome the low performance by using a cache system that stores repeated… Read More »Stanford Researchers Uncover Prompt Caching Risks in AI APIs: Revealing Security Flaws and Data Vulnerabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Current memory systems for large language model (LLM) agents often struggle with rigidity and a lack of dynamic organization. Traditional approaches rely on fixed memory structures—predefined storage points and retrieval patterns that do not easily adapt to new or unexpected information. This rigidity can… Read More »A-MEM: A Novel Agentic Memory System for LLM Agents that Enables Dynamic Memory Structuring without Relying on Static, Predetermined Memory Operations Asif Razzaq Artificial Intelligence Category – MarkTechPost