- Видео 99
- Просмотров 61 545
New Machina
США
Добавлен 18 июн 2023
NewMachina is focused on Machine Learning, AI in AWS Cloud.
Build an MP Neuron with PyTorch
📹 VIDEO TITLE 📹
Build a MP Neuron with PyTorch
✍️VIDEO DESCRIPTION ✍️
In this video, we create a simple MP Neuron (McCulloch-Pitts Neuron) in PyTorch that behaves as an AND gate. Starting from the basics, we walk through the key components of an MP Neuron, including weights, inputs, and thresholds, and show how these elements combine to replicate the behavior of the logical AND gate. Whether you are new to PyTorch or exploring how classic neural network models function, this hands-on coding example is designed to help you grasp these concepts effectively.
The video covers everything you need to know, from setting up the neuron to testing it with all possible input combinations. We explain the...
Build a MP Neuron with PyTorch
✍️VIDEO DESCRIPTION ✍️
In this video, we create a simple MP Neuron (McCulloch-Pitts Neuron) in PyTorch that behaves as an AND gate. Starting from the basics, we walk through the key components of an MP Neuron, including weights, inputs, and thresholds, and show how these elements combine to replicate the behavior of the logical AND gate. Whether you are new to PyTorch or exploring how classic neural network models function, this hands-on coding example is designed to help you grasp these concepts effectively.
The video covers everything you need to know, from setting up the neuron to testing it with all possible input combinations. We explain the...
Просмотров: 67
Видео
LangChain versus LangGraph
Просмотров 4609 часов назад
📹 VIDEO TITLE 📹 LangChain versus LangGraph ✍️VIDEO DESCRIPTION ✍️ In this video, we dive into the key differences between LangChain and LangGraph, two popular frameworks for building AI-powered workflows and pipelines. Whether you're working on a simple task automation or a complex AI workflow, understanding these frameworks' strengths and limitations is crucial. LangChain excels at linear task...
Chroma versus Pinecone Vector Database
Просмотров 10114 дней назад
📹 VIDEO TITLE 📹 Chroma versus Pinecone Vector Database ✍️VIDEO DESCRIPTION ✍️ "Choosing the right vector database is a critical decision for any AI-powered application, whether you’re working on semantic search, recommendation systems, or generative AI tools. Today, we’re diving into a comparison of two popular options: the Chroma Vector Database and Pinecone. Chroma is an open-source, highly c...
What is the Chroma Vector Database ?
Просмотров 18114 дней назад
📹 VIDEO TITLE 📹 What is the Chroma Vector Database ? ✍️VIDEO DESCRIPTION ✍️ "Imagine you’re building a cutting-edge application powered by AI-whether it’s a semantic search engine, a recommendation system, or even a conversational chatbot. All these applications rely on one critical technology: vector embeddings. But managing and querying these high-dimensional vectors can be a challenge. That’...
RAG with OpenAI & Pinecone Vector Database ?
Просмотров 63421 день назад
📹 VIDEO TITLE 📹 RAG with OpenAI & Pinecone Vector Database ? ✍️VIDEO DESCRIPTION ✍️ Welcome to this code-centric video tutorial on building a Retrieval-Augmented Generation (RAG) system using Python, LangChain, and the serverless Pinecone Vector Database, alongside OpenAI’s powerful language models. In this video, we'll demonstrate how you can combine the flexibility of LangChain, the scalabili...
New Machine Video Roadmap for 2025 !
Просмотров 11728 дней назад
📹 VIDEO TITLE 📹 NewMachina Video Roadmap in 2025 ✍️VIDEO DESCRIPTION ✍️ This video will share the NewMachina Video Roadmap in 2025. I want to cover Agentic workflows including Reflection, Planning, Multi-Agent, Tools, including LLM Function Calls and RAG. I also want to cover Neural Networks and Open Source LLM. I am looking forward to a really good 2025. 🧑💻GITHUB URL 🧑💻 No code samples for t...
What are LLM Function Calls ?
Просмотров 655Месяц назад
📹 VIDEO TITLE 📹 What are LLM Function Calls ? ✍️VIDEO DESCRIPTION ✍️ What are LLM Function Calls ? Welcome to this video, where we dive into the fascinating world of Large Language Models (LLMs) and explore a groundbreaking feature called Function Calling. Function Calling enables LLMs to go beyond text generation by dynamically interacting with external tools, APIs, databases, or custom functi...
Embeddings with Open AI & Pinecone Vector Database
Просмотров 386Месяц назад
📹 VIDEO TITLE 📹 Embeddings with Open AI & Pinecone Vector Database ✍️VIDEO DESCRIPTION ✍️ Welcome to this code-centric video tutorial! In this video, we’ll dive into the powerful combination of LangChain and the Pinecone Vector database for embedding text documents and managing them in a vector database. We’ll explore how to generate embeddings using OpenAI’s text-embedding-ada-002 model with L...
What is Hugging Face ?
Просмотров 2,1 тыс.Месяц назад
📹 VIDEO TITLE 📹 What is Hugging Face ? ✍️VIDEO DESCRIPTION ✍️ What is Hugging Face ? Are you curious about Hugging Face and how it’s revolutionizing the AI landscape? In this video, we break down what Hugging Face is, exploring its role as a leading platform for AI development and collaboration. From hosting pre-trained models and datasets to providing cutting-edge libraries like Transformers, ...
RAG versus LLM Fine-Tuning
Просмотров 1,5 тыс.Месяц назад
📹 VIDEO TITLE 📹 RAG versus Fine-Tuning ✍️VIDEO DESCRIPTION ✍️ In this video, we dive into the fascinating world of Retrieval-Augmented Generation (RAG) and Fine-Tuning for large language models, breaking down their key differences, pros, and cons. Whether you're a developer, data scientist, or business leader exploring AI solutions, this video offers a clear and concise comparison to help you c...
What is RAG ?
Просмотров 767Месяц назад
📹 VIDEO TITLE 📹 What is RAG ? ✍️VIDEO DESCRIPTION ✍️ Retrieval-Augmented Generation (RAG) is revolutionizing how AI systems retrieve and generate information by combining the power of large language models (LLMs) with external knowledge sources. In this video, we break down the fundamentals of RAG, explaining how it works and why it’s a game-changer for building accurate, contextually aware AI ...
What is the Perceptron ?
Просмотров 3362 месяца назад
📹 VIDEO TITLE 📹 What is the Perceptron ? ✍️VIDEO DESCRIPTION ✍️ In this video, we take a closer look at one of the foundational innovations in artificial intelligence: Frank Rosenblatt's Perceptron. We begin by diving into the 1958 academic paper, "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain," where Rosenblatt introduced this revolutionary concept...
What is the MP Neuron ?
Просмотров 3072 месяца назад
📹 VIDEO TITLE 📹 What is the MP Neuron ? ✍️VIDEO DESCRIPTION ✍️ Dive into the foundational building block of neural network history with this high-level overview of the “McCulloch-Pitts Neuron”! This video explores the groundbreaking work of “Warren McCulloch” and “Walter Pitts”, who introduced the first mathematical model of a biological neuron in their seminal 1943 paper, ‘A Logical Calculus o...
What is Physical AI ?
Просмотров 2182 месяца назад
📹 VIDEO TITLE 📹 What is Physical AI ? ✍️VIDEO DESCRIPTION ✍️ Welcome to our introduction into the world of Physical AI”. In this video, we’ll explore the exciting frontier where “artificial intelligence meets robotics and material science” to create intelligent systems capable of interacting with the physical world. Unlike traditional AI that primarily processes information in the digital realm...
Pinecone Vector Database PODS vs Serverless
Просмотров 1563 месяца назад
Pinecone Vector Database PODS vs Serverless
Meta Data Filters in Pinecone Vector Database
Просмотров 3243 месяца назад
Meta Data Filters in Pinecone Vector Database
Namespaces in Pinecone Vector Database
Просмотров 2734 месяца назад
Namespaces in Pinecone Vector Database
Fetches + Queries in Pinecone Vector DB
Просмотров 1644 месяца назад
Fetches Queries in Pinecone Vector DB
Upserts + Deletes in Pinecone Vector DB
Просмотров 2064 месяца назад
Upserts Deletes in Pinecone Vector DB
Your videos are top-notch, but they're not getting the attention they deserve in search results. 😕 I can help you optimize your videos for better search visibility. Let me know if you'd like my assistance!
Thanks very much for this explanation! Subscribed!
Appreciate your feedback... 🙏
This is great! Thanks
Glad you enjoyed it. Working on making more videos like this… 😊
Can you make also a short comparison between langGraph and agentic frameworks like Autogen or CrewAI?
excellent idea… I will add this idea to the list .. was looking at Crew AI last weekend …
Thanks, I'll start to go on langchain, but my use case is more adapted to langGraph !
I am hoping to get more LangGraph examples out over next month… 🙏
Very Crisp. Thank you so much. Please keep up the good work you're doing.
Thanks for feedback... working hard to get better with each video .... :)
Great simple to follow video thanks
Thank you for your feedback... always trying to get better with each new video...
Perfect
Thank you sir - appreciate your feedback ... always trying to get better ...
Invest in tools that make work easier
totally agree... always trying to automate my work ... so I can do fun stuff.. haha..
Yes, I do like how present and have subscribed. Thanks for sharing and I’m looking forward to more.
Thank you sir ... much appreciated ...
Thanks Sir, for such a nice video on pinecone.
Glad you enjoyed it! Trying to get better with each video.. 🙏
Great video - easy to follow format!
Thanks for your feedback! Glad you found it helpful. Trying to get better with each video..
Awesome ❤
Appreciate the support! Have a Happy New Year ....
Great content as always. Thanks !
Appreciate the feedback. 🙏
Thanks for the breakdown! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?
Great Video. Thank you so much
Appreciate the feedback. I'm trying to get better with each video. 🙏
SoCal tech-teaching perfection .
Appreciate your kind words! Glad you enjoyed it.
I loved this because 1. It made sense. And 2. You encouraged the real world.
Thank you 🙏
Very clear explanation and helped my AWS learning, thank you sir!
Glad you got something out of it! Thanks for sharing!
That worked well for me to get an idea of this
Great…. Glad to hear …
very clear and concise explanation with good visuals!
Thanks .... constantly try to get better with each video... and clear and concise is my #1 goal everytime ... really appreciate your feedback..
I like that this is high-level. Perfect for those of us dabbling with various platforms and don’t want just another low level tutorial.
Thanks for your feedback... follow along with me as I go high-level and then 1 layer down to de-mystify these topics... appreciate you sharing ...
Great video! Thank you sir!
Thanks for your feedback... really focusing on getting better with each video... thank you..
And because you are inviting people to disconnect, to live, you have another subscriber! 🎉
Thanks for your feedback... I believe this really important for keeping oneself in a good headspace... really appreciate you sharing .. thank you :)
@@NewMachinaand I appreciate your work, don’t stop and keep getting better every day! Thank you 🙏
thank you .... trying to get better with video... appreciate your reaching out...
Precise and easy to visualise with the explanation. Hooked!
Trying really hard to be concise, short and breaking things down to make them easy to understand... thank you for comments...
Great channel, I wonder how "system prompt" stands out in that context, I observed that eventually system prompt influence on answers degrade as context grows
Interesting observation... I was reading something about that a few months back... One thing I saw was stating prompt at beginning, then providng all the context and then stating the prompt again at the end seems to improve quality a response across many LLM's.... thanks for sharing ....
Thanks for the breakdown! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How should I go about transferring them to Binance?
What the ef... why would you ask that here...
Appreciate your feedback on video... not familar with Binance.....
Clear and nice! Exactly what answers I was looking for Now I have to somehow evaluate how many tokens I am passing to a model through the Ollama
Glad it helped... hoping to with Ollama soon ... this space is evolving so quickly....
Great explanation, cheers!
Thanks you for sharing... trying to get better with each video....
Oh this makes so much sense. Was reading about this and it went above my head! You explained it so well! Gonna remember this forever
Thanks for your your feedback... glad you own this knowledge now ...
Great explanation, short and precise! Thank for the effort!
Always aiming for Short and Concise.. everyone super busy and everyone's time is valuable... thanks for your feedback ...
Can we use RAG for small docs??
I am working on code-centric video using RAG and docs pretty small... works with both small and large docs...
Well Explained !!
Thanks for your feedback... worked hard hard to break it down.. thank you..
Thanks!!
Absolutely... glad you got some good out of it...
Can't wait for your next videos about the implementation of RAG using LangChain and Pinecone
It’s in progress now … should be out in December…. 👍
awesome
Thanks for feedback…🙏
Min 1:00. "GPUs and NPUs are optimized to handle thousands of simultaneous matrix operations in parallel during one clock cycle."
Did I say hundreds? Think you’re directionally correct… Thanks for sharing…
Thanks for this great and concise content !.
Thank you for your feedback... Trying to get better with every new video ....
Commenting for reach
Thank you ...
Those last lines earned a follow
Appreciate your follow... let me know if there any video ideas you would like to see ...
hidden gem channel!
thank you for your feedback... much appreciated...
@NewMachina for sure bro! Look forward to learning new stuff from ya
Finally a good video on this subject. Awesome video.
Thanks ... trying to get better with each video... your feedback appreciated...
RUclips thumbnail masterclass in 5 steps: 1. Your thumbnails have too many words in them. Less is more. Generally 5 words or less. 1-3 is preferable. Seriously. 2. Your thumbnails text doesn't need additional subtitles. All of that can go in the title of the video (which it already is). You don't need to say it twice. 3. You don't need your entire body shrunken down on the thumbnails. Face at most, and that's only if your face has brand recognition. You're small so you don't need it at all yet. 4. Your titles should be shorter, and include things people are searching for if possible. It's about the viewer, not the creator. 5. Your thumbnails shouldn't look like PowerPoint slides, it's not PowerPoint. They need to catch the eye, and convey the message in 1-3 seconds, with a call to action to emotionally compel them to click. I'm not telling you this to talk smack, I'm telling you this so you can succeed. The thumbnail is responsible for 50% of your success on the platform. That's how important it is. Your videos would get 10x more views or more if you get the thumbnail game down. Good luck, knock em dead, and I'll see you when you get that silver play button, friend. <3
Lots of feedback... thank you for taking the time to share .... Let me process this and see how to incorporate this ...
Congratulations.................
Thanks...
very nice video and easy to understand sir excellent
Thank you for the feedback… appreciate it.
Really enjoying your video's, short, sweet, and right to the point - fits my busy schedule perfectly!!!
Thanks for the feedback! Appreciate you sharing your thoughts...
the nuclear power plant disaster? it will happen somewhere else. but the Europeans and Americans talk as if it happen in their place.
Thanks for sharing your perspective... Do you have a recommendation for alternative baseline power source?
thx
Let me know if you there are video ideas you would like to see... thank you ...
@NewMachina hello! 😊 I’d like to understand how synthetic data influences the optimization (done by o1) in GOPT search 🔍. Could you clarify how o1 is applied? Additionally, how can the contextual window in GOPT search 🔍 be managed, given that it includes search context that impacts the answers?
@@NewMachina @NewMachina hello! 😊 I’d like to understand how synthetic data influences the optimization (done by o1) in GOPT search 🔍. Could you clarify how o1 is applied? Additionally, how can the contextual window in GOPT search 🔍 be managed, given that it includes search context that impacts the answers?
Ok, let me add this to the list of potential videos... will need to do some research first.. thanks for sharing...
thx bro clear and nice infos
thanks for feedback....
Great video! Went out hiking at Governor Dodge State Park in WI today.
Thanks for feedback on video …. Awesome outdoor adventure! Thanks for sharing…. I have to look that park up to check it out….