Thursday, April 24, 2025
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UpasPro, Pedram Agand personal blog. AI and financial advice
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Technow: Context Managers Using contextlib, Phi-3 family, Verba RAG

Learn how Python’s contextlib module simplifies resource management with the with statement; Microsoft’s latest strides in the small language model race with the Phi-3 family, multimodal model and Copilot+ PCs; Copilots now support team collaboration and customizable AI agents for complex business processes; Verba RAG, Weaviate’s open-source tool for Retrieval-Augmented Generation, offering a user-friendly interface and versatile deployment options for advanced text generation tasks.

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Deep dive: Llama3 from scratch, LinearBoost, LoRA Learns and Forgets Less

In this post, we’ll explore three groundbreaking advancements that are pushing the boundaries of AI and machine learning. First, dive into the intricacies of LLaMa 3, implemented from scratch in Python, where every aspect, from attention mechanisms to tokenization, is meticulously explained, making it a must-see for anyone interested in model architecture. Next, discover how LinearBoost, a new linear classifier-based algorithm, outperforms traditional GBDTs like CatBoost and XGBoost, showcasing superior accuracy and response time across five benchmark datasets. Lastly, we’ll delve into the debate on Low-Rank Adaptation (LoRA) in fine-tuning large language models, revealing why LoRA might not match full fine-tuning in specialized domains but offers remarkable regularization benefits. These insights are not only educational but also essential for staying at the forefront of AI research and application.

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Autonomous Driving: from Sensor Fusion to End-to-End Control Aifunfactsfrall Youtube Pedram Agand
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Autonomous Driving: from Sensor Fusion to End-to-End Control

https://www.youtube.com/watch?v=v-Lz4aHPpK8
Discover DMFuser – an advanced multi-task learning model revolutionizing autonomous driving! With innovative sensor fusion techniques, knowledge distillation, and real-time navigation control, DMFuser delivers safer and smarter self-driving vehicles. Tested in the CARLA simulator, it combines RGB-D camera data with deep learning to predict throttle, steering, and braking commands more accurately. From challenging weather conditions to dynamic multi-agent environments, DMFuser outperforms traditional models. Stay ahead of the curve in autonomous driving with this cutting-edge AI solution! #AutonomousDriving #AI #DMFuser #TechInnovation #SelfDrivingCars

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How Meta is shaping your future: inside Meta AI Connect

https://www.youtube.com/watch?v=gHkQPJzqfbU
Meta Connect 2024 is here, unveiling Llama 3.2, a powerful open-source AI that’s changing how we interact with images and text, and the futuristic Orion AR glasses—the next step in augmented reality! Meta also introduced enhanced Ray-Ban Meta smart glasses, now with Spotify and real-time translations. But the real game-changer? The AI assistant that’s more engaging than ever, supporting voice, image, and text queries across platforms like Facebook and Instagram. Plus, new AI tools for creators, including video dubbing in multiple languages. Watch our video to see how these innovations are shaping the future of AI and AR. The future is closer than you think!

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Inference-Time Scaling vs training compute

We’re seeing a new paradigm where scaling during inference takes the lead, shifting focus from training huge models to smarter, more efficient reasoning. As Sutton said in the Bitter Lesson, scaling compute boils down to learning and search—and now it’s time to prioritize search.

The power of running multiple strategies, like Monte Carlo Tree Search, shows that smaller models can still achieve breakthrough performance by leveraging inference compute rather than just packing in more parameters. The trade-off? Latency and compute power—but the rewards are clear.
Read more about OpenAI O1 Strawberry model #AI #MachineLearning #InferenceTime #OpenAI #Strawberry

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Tecknow: Metaprompt by Antropic, OpenAI Guideline, LeRobot huggingface

Get ready to explore the cutting-edge tools and guidelines shaping the future of AI! In this post, we delve into Anthropic’s Metaprompt, a groundbreaking tool that optimizes prompt templates for Claude-powered applications, and OpenAI’s newly unveiled guidelines for AI model behavior. Discover how these advancements enhance AI performance, transparency, and ethical considerations. Plus, we introduce LeRobot from Hugging Face, making robotics accessible with state-of-the-art models and datasets. Join us as we unpack these innovations and their potential impact on AI and robotics.

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