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AI with Ritesh
United States
เข้าร่วมเมื่อ 8 มิ.ย. 2022
I am on a mission to help at least 1 million people in next 12 months to understand AI and it’s related benefits.
As a part of that mission, I have stated this TH-cam channel “AI with Ritesh” where I talk about AI in a way that’s easy to understand. There are still certain technical jargons but I try to distill it down.
Let's have real conversations about how AI can make a positive difference in our lives.
Whether you're a tech expert or just getting started, my channel is for you. We'll explore topics like #ai, #llms, #aistrategy, and all those AI buzzwords you've heard. Hit subscribe, join me on this exciting journey, and let's make AI understandable and fun together! 🚀🤖✨
As a part of that mission, I have stated this TH-cam channel “AI with Ritesh” where I talk about AI in a way that’s easy to understand. There are still certain technical jargons but I try to distill it down.
Let's have real conversations about how AI can make a positive difference in our lives.
Whether you're a tech expert or just getting started, my channel is for you. We'll explore topics like #ai, #llms, #aistrategy, and all those AI buzzwords you've heard. Hit subscribe, join me on this exciting journey, and let's make AI understandable and fun together! 🚀🤖✨
LLM Fine-Tuning Explained in 2 Minutes: Supercharge Your AI's Performance
Unlock the power of Large Language Models (LLMs) with fine-tuning! In just 2 minutes, learn how to transform a general-purpose AI into a specialized powerhouse for your specific needs.
This video covers:
✅ What LLM fine-tuning is and why it matters
✅ The step-by-step process of fine-tuning
✅ Key benefits, including improved accuracy and domain-specific understanding
✅ Real-world applications in finance, healthcare, and business
Whether you're an AI enthusiast, a business leader, or just curious about the latest in machine learning, this quick guide will give you a solid understanding of LLM fine-tuning and its game-changing potential.
Don't miss out on this opportunity to stay ahead in the AI revolution. Watch now and discover how fine-tuning can take your AI applications to the next level!
#ArtificialIntelligence #MachineLearning #LLM #FineTuning #AITechnology
This video covers:
✅ What LLM fine-tuning is and why it matters
✅ The step-by-step process of fine-tuning
✅ Key benefits, including improved accuracy and domain-specific understanding
✅ Real-world applications in finance, healthcare, and business
Whether you're an AI enthusiast, a business leader, or just curious about the latest in machine learning, this quick guide will give you a solid understanding of LLM fine-tuning and its game-changing potential.
Don't miss out on this opportunity to stay ahead in the AI revolution. Watch now and discover how fine-tuning can take your AI applications to the next level!
#ArtificialIntelligence #MachineLearning #LLM #FineTuning #AITechnology
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This week in AI with Ritesh: Hyper-personalization, Neurips, prompting guide and apple.
มุมมอง 198 หลายเดือนก่อน
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This week in AI with Ritesh - Dec 11th week
มุมมอง 318 หลายเดือนก่อน
This week in AI with Ritesh - Dec 11th week
Sonnet 3.5 has me excited about AI again. It's head and shoulders above any LLM out there.
Indeed, this is one of the best thing happened since chatGPT
00:02 AI agents act as part of the AI system to enable system 2 thinking 02:46 Using AI agents to create job postings with inputs and workflow 05:25 Use AI agents for editing and research tasks 07:56 Utilizing AI agents for creating job descriptions 10:24 AI Agents framework embedded into coding for company details extraction 12:42 AI agents work together in joint functionality for tasks. 15:18 AI Agents provide better output compared to chat GPT for job descriptions 17:33 AI Agent analyzes job postings and industry trends 19:34 AI agents utilize chat GPT for improved outputs 21:44 Orchestrating agentic workflow for task-based functionality
thanks for adding the timeline
*Promo sm* ⭐
How does AI run on apple M1 etc? Slower than a GPU PC?
What Apple has released is a framework, called MLX (github.com/ml-explore/mlx) . This framework is similar to PyTorch, Tensorflow, Jax etc. It's still early days to say whether it's faster or slower than GPU on PC. But if I have to guess based on how Apple is combining the power of hardware and software, it will be way faster than GPU on PC.
Knowledgeable, straight to the point and clear english. I love it!
Too bad Claude has been restrained so intensely, rendering it uncompetitive in many respects. It's terrible.
What are some of those prompts you noticed which restrain the creativity?
just watched Dave's video.. I see some of those example why Dave is grumpy. I am not advocating either Claude or ChatGPT but based on what you described with your experience and Dave's video it appears that the safety is hindering the creativity.
Thank you sir .......can u explain it with a sample project
Thanks for the nice presentation