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The Impact of Large Language Models on Code Writing and Review
Mastery Learning
Short summary
Large language models (LLMs) have a significant impact on code writing and review. LLMs predict the most likely next word and help automate code writing. They can also assist in finding and fixing bug
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The Magic of Back Propagation: A Deep Dive into Machine Learning
Artem Kirsanov
Short summary
Back propagation is the algorithm that unites all machine learning systems and enables artificial networks to learn. Despite its transformative impact, its details are often overlooked. This video exp
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The Future of AI: Top 10 Things AI Might Be Able to Do in 2050
AI Uncovered
Short summary
In 2050, AI will have unimaginable problem-solving skills, sophisticated interactions, and the ability to create a hyperconnected world. It will revolutionize education, be powered by quantum computin
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Unlocking the Potential of Reinforcement Learning
Pezzza's Work
Short summary
Reinforcement learning is a fascinating branch of machine learning that allows programs to perform complex tasks by carrying out their own experiments in a given environment. In this video, we present
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Enter the World of Artificial Intelligence with Google's AI Model
freeCodeCamp.org
Short summary
Learn how to use Google's AI model Gemini and build your own AI chatbot
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The Magic of Deadlines: How They Help You Focus and Achieve Goals
EO
Short summary
Deadlines force you to focus on achieving your goals by eliminating distractions. They provide a sense of urgency and clarity, helping you prioritize tasks and stay motivated. Deadlines can be benefic
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AI and the Challenges of Science Prediction
Forbes
Short summary
In the domain of science, AI faces a challenge in predicting complex systems due to the irreducible amount of computation involved. While AI performs well in areas with shallower computation, it strug
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How to Build a Football Analysis Project from Scratch
Code In a Jiffy
Short summary
Learn how to build a football analysis project from scratch using YOLO for object detection, K-means for segmentation, and optical flow for movement analysis. Measure ball acquisition percentage, play
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How to Use LAMA3 to Analyze and Visualize Multiple CSV Files
DataInsightEdge
Short summary
Learn how to leverage the power of LAMA3 to analyze and visualize multiple CSV files using Python and streamlit.
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Understanding Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
DataTalksClub ⬛
Short summary
Learn about Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and how they can generate answers to user questions based on prompt input and retrieved documents.
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Understanding the Challenges of Discrete Data Generation
Stanford Online
Short summary
This video explores the difficulties in generating discrete data using continuous models, highlighting the limitations of existing approaches. It discusses the unique properties of discrete data and t
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Essential Resources to Become a Data Analyst
Hariharan S
Short summary
Learn the essential skills needed to become a data analyst for free with online courses. Start with Excel, SQL, programming (Python or R), and data visualization tools like PowerBI or Tableau.
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Super Fast Inference with LLM: Running Large Language Models on a Single GPU
Rohan-Paul-AI
Short summary
Learn how to achieve super-fast inference with LLM, a library that allows you to run large language models on a single GPU. By implementing layered inference, LLM optimizes memory usage and significan
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The Power of Rag: Retrieval-Augmented Generation in AI
IBM Technology
Short summary
Rag or Retrieval-Augmented Generation is a process that combines AI models and vector databases to provide accurate and up-to-date information. It involves querying the database for relevant data and
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Cracking the Job Market for Generative AI
Krish Naik
Short summary
Generative AI is a sought-after skill set in the job market, and companies are investing heavily in applications using GPT and multimodal models. This video explores the skill sets required for genera
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Crash Course: Perform Fine-Tuning with LLM Models
Krish Naik
Short summary
Learn the theoretical intuition and practical application of fine-tuning LLN models, including concepts like quantization, Laura CLA, and PFT. Implement multiple projects using hugging face open sourc
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Is a College Degree Worth It? Insights from a Data Scientist
Sajjaad Khader
Short summary
Getting a college degree is still recommended, but the self-taught route can be a viable alternative. A data scientist shares their journey from finance to data analytics, the difficulty of job search
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The Future of AI: Building Human-Level Intelligence
Harvard CMSA
Short summary
AI systems are limited compared to humans and animals in terms of learning, reasoning, and common sense. Objective-driven AI architectures aim to improve this by creating systems that learn world mode
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The Promise of AI Agents: Unlocking Their Potential
David Ondrej
Short summary
AI agents, such as Autogen, Devyn, and LangRa, have the potential to revolutionize programming and automation tasks. They can execute code, find errors, and simplify complex tasks. While there are con
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The Power of the AI Moving Average Indicator
BORSA 321
Short summary
Learn how the AI Moving Average Indicator, powered by artificial intelligence, outperforms regular moving averages. Use the indicator's machine learning and optimization features to find the best SMA
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Accelerating Scientific Discovery with AI: The Power of Prior Knowledge
Microsoft Research
Short summary
AI for scientific discovery combines large language models with prior knowledge of laws of physics and other scientific principles. It enables precise numerical computation and deep understanding of n
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