Bro you should be making more tutorial based content, your explanation skill is top notch!
@1littlecoder3 ай бұрын
Thanks bro. Any example what might of content would help you ?
@StewieGriffin-damnU3 ай бұрын
@@1littlecoder How about a Playlist on All things LLMs(From Absolute Beginners to current developments)
@awesomedata89733 ай бұрын
This is a great video. Please go even further in-depth next time! -- I love the model testing, but I also love the theory and fundamentals behind it all too!
@amediarts2 ай бұрын
Excellent and Informational for curious people.
@1littlecoder2 ай бұрын
Glad you think so!
@MartuzaFerdous3 ай бұрын
Fantastic job. You have a natural talent to explain a complex concepts very clearly and simply. U are making a difference. Wish u all the best.
@inishkohli2733 ай бұрын
Thank you so much bhai...Completed both video😊. Really enjoyed it. Your guide to what to read are very helpful because most of the time we dive into learning without knowing what to learn, how to learn, and what amount ot knowledge to acquire . You covered all the tips . Keep it up
@1littlecoder3 ай бұрын
That's great to hear
@The_Criminal_Minds3 ай бұрын
I really like when you pointed out if someone already knows about these concept you can skip the video. Generally what happens is we watch the whole video to see if there is something new and ends up with adding nothing new to the knowledge
@Epic_ExploresАй бұрын
Really good explanation. Thanks.
@ArunKumar-mp1di3 ай бұрын
I was curious about Markov chains, thank you for including it in this video. I have a question regarding fine-tuning for a domain-specific use case. If we want to fine-tune an open-source model for an agentic system, can we use LoRA? Additionally, when creating the fine-tuning dataset, what data should we include? Should we incorporate every piece of data passed through the LLM, such as the CoT prompt + corrected output reasoning, query + context along with the response, and planning if that was part of an LLM call, etc.?
@motivationmantra52063 ай бұрын
Great video. More videos Rag video using llama index with unstructured data
@1littlecoder3 ай бұрын
Thanks, will do!
@abdoulayediallo37773 ай бұрын
How do you do the continuous pre training phase? Fine tuning the base model vs the Instruction model ? Even though base model have less context window. But great video 🎉❤
@HmP_ai3 ай бұрын
Keep going brother, amazing AI content !
@ganesha73163 ай бұрын
Nice video. Thanks for the explanation. So LLMs predict next word, this part is pretty clear. If i give a question with multiple options as answer, LLMs were able to identify the correct option and reply back. How does it work? If you have some time, can you please throw some light on it?
@IndiaOutsource3 ай бұрын
I have some questions: We take datasets (like Alpaca and ShareGPT) and train using transformers, which I believe is the common method. However, there are others like RNN, CNN, and self-attention mechanisms to get a base model. Now, how can I do this for Tamil? I found some datasets on Kaggle or was thinking of scraping data and making my own dataset. If so, what format should this be? JSON? I've asked around, but no one has answered. I'm a poor arts student (not from computer science background), following your channel from the begining and trying things by myself. I'd like to create my own fine-tuned or base model. Can you help clarify this?
@PramodRao27Ай бұрын
@1littlecoder - when company releases base model and instruct model, would it nor benefit from always using the instruct model? Why would one use a base model when instruct is available? could you please shed some light on this.
@1littlecoderАй бұрын
Great question Pramod. Best model is not aligned. That means a lot of people can use it for fine tuning and align it in the way that they want. Instruct model makes sense for applications like water we use like a chatbot
@sanemonk13 ай бұрын
From this video i kinda of got an impression that just like base model even broader fine tuned models are in the market that enterprises can pay to use and further fine tune for their individual needs. Fine tuned models are built by each enterprise only correct? No such broader fine tuned pay and use models are in the market currently. Correct?
@ravishmahajan93143 ай бұрын
Hi ! Grear Video, May you please tell from where should i learn all the things related to LLM?
@1littlecoder3 ай бұрын
I'd say see what you want to do with that and learn from that. That's a very top down approach and works well for most. Deep learning dot ai has good courses.
@AbdulBasit-ff6tq3 ай бұрын
Do you plan to create a video on knowledge infusion into LLM soon?
@AbdulBasit-ff6tq3 ай бұрын
Is it possible with QLora or should we go with CPT? And can we actually CPT a llm model with Qlora or will we require as much compute power as the organization used to train the that base model?
@RamasamyN-o5p3 ай бұрын
It would be nice, If you make videos to build a base model and fine-turn it.
@KumR3 ай бұрын
Hi Abdul. Thanks for this. Is base model same as instruct model? Is pre training supervised or unsupervised?
@geniusxbyofejiroagbaduta86653 ай бұрын
No an instruct model is a further finetuned base model on some dataset that guilds the based model on ways to answer questions
@KumR3 ай бұрын
ok i think thats a general confusion too on what are diff type of models. which ones are unsupervised and supervised amongst them too....
@heisenbergwhite58453 ай бұрын
Any thought on llama3-v stealing all work from an other model, thought you can cover this on the channel, as it is huge
@1littlecoder3 ай бұрын
Thank you llama3 v is definitely on the list
@1littlecoder3 ай бұрын
Oh I missed the stealing part, are they ?
@Jvo_Rien3 ай бұрын
you explain very well, thank you brother
@HashtagTiluda3 ай бұрын
Can you make a video about fine-tuning multi-modal LLM models with custom image dataset?
@1littlecoder3 ай бұрын
Any specific use case or domain?
@HashtagTiluda3 ай бұрын
@@1littlecoder you can take the plantdoc dataset from Kaggle
@terryethompson3 ай бұрын
Very nice job. This video is fire!!!
@1littlecoder3 ай бұрын
Thank you very much!
@VenkatesanVenkat-fd4hg3 ай бұрын
I like to ask one important question that all big companies going to provide apis which will do multimodal, which can be handled by machine learning engineer or SE, what is the purpose of data scientist. I think it will vanish in India because here most of them going to use api alone, right?. I think current llm can do both frontend and backend codes well, then whether the count of SE will be reduced ( mostly my view)....by Senior Data Scientist.....
@1littlecoder3 ай бұрын
I'm of that opinion data scientist as a role is highly ambiguous and polluted and definitely think the LLMs that we see will make a lot of difference there. But lot of things come at play like data residency, data privacy and other such aspects that can make them still relevant even if AI rises.
@MSworldvlog-mr4rs3 ай бұрын
If that happens, most of the jobs can be replaced by AI
@DefaultFlame3 ай бұрын
I don't know what language it is, but if it's made from corn and makes you drunk it's probably bourbon. The "everyone likes it" line is a lie though. Edit: Ah, so that's what the video is about. I supposed I could stop watching but I'm going to keep watching to the end anyway. I remember doing so much experimentation with (and spending so much money on) the text-instruct-davinci model of GPT-3. One of the most interesting was experimenting with having it generate images and doing image recognition on SVG code. I actually still have the SVG code from a couple of it's better "art" pieces that were actually legible.
@1littlecoder3 ай бұрын
Thank you ❤️🙏🏾
@tamilil-18573 ай бұрын
Please make videos on LLMOps 😊
@1littlecoder3 ай бұрын
Do you mean the productionizing part of it? I actually been thinking to get a guest for this!
@gunngunn67633 ай бұрын
What is generative AI?
@1littlecoder3 ай бұрын
Using AI to generate something, image or text
@sanemonk13 ай бұрын
LlM based Generative Ai only makes q&a, chatbots, rags, agents? What is the Complete scope of Gen AI depeloper? e@@1littlecoder
@bernard27353 ай бұрын
Great video. Thank you.
@ahmadsaud35313 ай бұрын
Thanks!
@1littlecoder3 ай бұрын
Thank you so much, Glad you found it worthy!
@HarshVerma-k9z3 ай бұрын
youtube is bad, it always delete my comments on your videos :(. Is there anywhere else I can take advice or ask questions from you?
@ahmadsaud35313 ай бұрын
thanks a lot
@1littlecoder3 ай бұрын
Thank you so much
@ajan41743 ай бұрын
Hey is learning langhchain and langgraph and dela with llms will help us to get a job as ai engineer or is it just a bubble for the time now ?
@1littlecoder3 ай бұрын
I would say forget about bubble at this point. Honestly, it doesn't matter at this point. You learn these things. You start doing some project and make some money
@ayushmishra58613 ай бұрын
@@1littlecoderbut what if we are building expertise in this domain rather than building in some other domain and this bubble bursts after few years. All my experience in this domain becomes irrelevant then?
@ahmadsaud35313 ай бұрын
hi, can i have a session(s) with you for fixed number of hours and we agree on the price per hour, my interest is mainly to learn and discuss few use cases with and get the benefit from your experience. please let me know if that is possible.
@1littlecoder3 ай бұрын
please email me 1littlecoder at gmail dot com. we can discuss
@mathavansg92273 ай бұрын
great video!
@1littlecoder3 ай бұрын
Glad you enjoyed it
@saideepesh60363 ай бұрын
I think you can reduce your portion from the video, it's blocking few things and standing out loud on the screen, Thanks.
@1littlecoder3 ай бұрын
Thanks for the feedback. I used to make my background transparent for the same but few feedbacks came as it's not nice. I'll probably next reduce the size and see.
@Ovmt3 ай бұрын
Hey i am too much confused with the llm infrastructure right now we have langchain Lang graph, hugging face , llama index (i guess which do the same work as langchain does ifk why its still there). I think with llm we can just finetune llm or implement RAG or make agents infact why there are so much things
@1littlecoder3 ай бұрын
Are you referring to those specific packages or just generally the concepts?
@Ovmt3 ай бұрын
I was referring to the package@@1littlecoder
@MichealScott243 ай бұрын
❤🙇
@donkeroo13 ай бұрын
Clearly, building and implementing an LLM requires special training and not DBAs.
@1littlecoder3 ай бұрын
Could you please elaborate
@donkeroo13 ай бұрын
First of all, love the content. My comment is a general observation that LLMs are statistical models that require technical training. Most enterprise LLM implementations interestingly are owned by IT, who lack proper training to ensure an LLM succeed. Having IT own the implementation is really a recipe for failure imo.
@HarshVerma-k9z3 ай бұрын
This is too good, you and Hussein Nasser are the best