This lecture on vector embedding is undoubtedly one of the best I've encountered! Huge thanks to Ania and FCC! Kudos to you all!
10:51 THIS is a 'golden nugget' right here: "The core advantage of vector embeddings..." Such a great summation of exactly what an ai model really is. Thanks for such a fantastic video. I love it !
Ania, that was freaking amazing! You simplified all the concepts without going too high-level and dumbing it down altogether. You told us what happens and showed us HOW they happen. I found this very informative and you answered so many questions I have been pondering. I'm not a developer or an AI person, I'm a network engineer. So, thank you... By the way, I used an embedding model to map your face, and the semantic engine returned the words "gorgeous," "lovely," "beautiful," etc... 🙂
do you agree that this legendary channel is better than most paid courses for coding out there?
Wow the instructor for this vid was actually amazing. I only clicked on it because It was 30 minutes long, having no real intention to actually learn and just have play in the background while I read a textbook for fizz. The instructor was phenomenal, I understood everything she said, every instruction was clear to follow although I only really know some JavaScript and cpp. I actually learned a few things. Before the video began like I said no real intentions of implementing this but since I actually learned and understood pretty much all of it I could see myself actually implementing it on some project and adding it to my resume. Would be cool. Thanks
Can we stop just for a moment and appreciate her!!! learned loads of thing from you!!! hats off 🎓🎓 ❤❤ love you from Ethiopia
This girl is an ideal perfect educator!
Incredibly helpful !! I love how thorough or concise the explanations were in the right time and place. Many thanks to the lovely instructor, Ania Kubow, and freeCodeCamp 😍🙏
You're dazzling and wise, a true blend of grace and intellect.
Simply love this presentation! That vec math (King - man + woman = Queen) just blow my mind!
Really great, she has great presentation skills , to the point which needed demos ...clarity in tone, content and body language...thanks a lot.
You really are one of the best teachers.
Wow. Probably the best lecture to meaningfully explain what vector embeddings are, and how cosine similarity works. Thank you very much!
Nice introduction to vector embeddings with clear explanation. One of the best lecture/videos encountered on you tube related to this topic.
🎯 Key Takeaways for quick navigation: 00:00 📘 Anikubo's course covers vector embeddings using OpenAI's GPT-4. 01:49 🖥️ Vector embeddings transform various data types into numeric forms for algorithm processing. 06:12 📈 Numbers can represent complex data, and cosine similarity helps compare them. 08:04 🌐 Embeddings find applications in recommendation systems, NLP tasks, and more. 14:04 🛠️ LangChain, an open-source framework, enhances AI interactions, chaining models and data. 23:25 🛠️ The tutorial walks through setting up a Python environment and key scripting steps. 24:22 ⚙️ Essential packages and tools are installed for AI development. 33:17 🤖 The AI assistant, using vector-based search, fetches relevant documents from a database. Made with HARPA AI
You have a talent to deliver complex information in a very interesting manner! Waiting for more videos!
Fun fact : GPT3 has vector embedding sizes of around 12,888 which is 100 times more than tiny models and 25 times more than normal NLP models.
This is a masterclass!!! Thanks so much! Really appreciated!
dishing it out like piece of cake,
@aniakubow