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Kvs satishIntroduction Galileo is an open-source, highly multimodal foundation model developed to process, analyze, and understand diverse Earth observation (EO) data streams—including optical, radar, elevation, climate, and auxiliary maps—at scale. Galileo…
Kvs satishLLMs have shown notable improvements in mathematical reasoning by extending through natural language, resulting in performance gains on benchmarks such as MATH and AIME. However, reinforcement learning (RL) for training…
Kvs satishThe tides have turned in the enterprise AI landscape. According to Menlo Ventures’ 2025 “Mid-Year LLM Market Update,” Anthropic’s Claude has overtaken OpenAI as the leading language model provider for…
Kvs satishBuilding an intelligent agent goes far beyond clever prompt engineering for language models. To create real-world, autonomous AI systems that can think, reason, act, and learn, you need to engineer…
Kvs satishIn this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model…
Kvs satishEstimated reading time: 4 minutes The paper “A Survey of Context Engineering for Large Language Models” establishes Context Engineering as a formal discipline that goes far beyond prompt engineering, providing…
Kvs satishArtificial intelligence and machine learning workloads have fueled the evolution of specialized hardware to accelerate computation far beyond what traditional CPUs can offer. Each processing unit—CPU, GPU, NPU, TPU—plays a…
Kvs satishIn this advanced Roboflow Supervision tutorial, we build a complete object detection pipeline with the Supervision library. We begin by setting up real-time object tracking using ByteTracker, adding detection smoothing,…
Kvs satishEstimated reading time: 6 minutes AI has just unlocked triple the power from GPUs—without human intervention. DeepReinforce Team introduced a new framework called CUDA-L1 that delivers an average 3.12× speedup…
Kvs satishMLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline design and optimization. By…
