Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro now stable, Flash generally available, and the new Flash-Lite in preview. Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro now stable, Flash generally available,… Read More »Gemini 2.5: Updates to our family of thinking models Google DeepMind Blog
Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet. Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet. Read More
[[{“value”:” This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo. Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace.… Read More »How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS Vicky Andonova, Jonathan Karon Artificial Intelligence and Machine Learning
[[{“value”:” This post is cowritten with Renyu Chen and Dev Tagare from Robinhood. Robinhood has been a pioneer and disruptor in the once staid world of online brokerages. Founded in 2013, the company transformed an industry better known for gatekeeping into an open platform accessible… Read More »An innovative financial services leader finds the right AI solution: Robinhood and Amazon Nova Renyu Chen, Dev Tagare Artificial Intelligence and Machine Learning
[[{“value”:” Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries, creating workflow bottlenecks. Amazon Bedrock… Read More »Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases George Belsian Artificial Intelligence and Machine Learning
If you’ve been using large language models like GPT-4 or Claude, you’ve probably wondered how they can write actually usable code, explain complex topics, or even help you debug your morning coffee routine (just kidding!). If you’ve been using large language models like GPT-4 or Claude,… Read More »7 Concepts Behind Large Language Models Explained in 7 Minutes Bala Priya C MachineLearningMastery.com
This post is divided into three parts; they are: • Interpolation and Extrapolation in Sinusoidal Encodings and RoPE • Interpolation in Learned Encodings • YaRN for Larger Context Window Sinusoidal encodings excel at extrapolation due to their use of continuous functions: $$ begin{aligned} PE(p, 2i)… Read More »Interpolation in Positional Encodings and Using YaRN for Larger Context Window Adrian Tam MachineLearningMastery.com
[[{“value”:” The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. However, these models frequently generate outdated or inaccurate information and can reflect biases during deployment, so their knowledge needs to be updated continuously. Traditional… Read More »EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs Sajjad Ansari Artificial Intelligence Category – MarkTechPost
[[{“value”:” The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud infrastructure for training and… Read More »OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse Attention and Fast Inference Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered in Gurgaon, India, is a prominent international tire manufacturer with production facilities in India and Europe. The company advertises its products under its two… Read More »How Apollo Tyres is unlocking machine insights using agentic AI-powered Manufacturing Reasoner Harsh Vardhan AWS Machine Learning Blog