What Is cca? What is this is this cyber security or networking or maths?
@Lamoboos223Ай бұрын
so it's basically for RAG apps?
@hommhommhomm2 ай бұрын
How did you get spectogram in what appears to be Audacity?
@TheBancNonius2 ай бұрын
ran the demo myself a few months ago and it worked. now I get this. > Entering new AgentExecutor chain... --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-10-2d2d4f1a7f7a> in <cell line: 1>() ----> 1 agent_executor.invoke({ 2 "input": "Create a plot of the number of full time employees at the 3 tech companies with the highest market cap in the United States in 2024.", 3 }) 32 frames /usr/local/lib/python3.10/dist-packages/langchain_core/tools/base.py in args(self) 444 @property 445 def args(self) -> dict: --> 446 return self.get_input_schema().model_json_schema()["properties"] 447 448 @property AttributeError: type object 'TavilySearchInput' has no attribute 'model_json_schema'
@Netzhang2 ай бұрын
A love supreme~ A love supreme~ A love supreme
@zionfranzen2 ай бұрын
Excelente explicación, y métricas para medir el esfuerzo de entrenamiento de GPT3 tks
@TaherART2 ай бұрын
Amazing Jalal, best material I've seen so far describing this matter. Keep up the great work old friend😊
@arp_ai2 ай бұрын
Glad to hear it, bro! Hope you're doing excellent!
@ramonribascasasayas78773 ай бұрын
THE FUCK THEY'VE DONE WITH THE MUSIC????
@raxcoins4 ай бұрын
pls hire me.
@ArunNegi-fi8di4 ай бұрын
finally found the video, if you haven't watched then this is the one .
@jemma-joon4 ай бұрын
this is amazing. One thing I didn't understand is the matrix, how it is generated and used in the processing to return the probability (how "the" turns into a big array of inputs)
@icapservices15364 ай бұрын
Great example thanks Jay 😃
@RobertoSilva-hj9yn4 ай бұрын
Very helpfull video, very well explained
@abugigi5 ай бұрын
Great video, and perhaps just as important, great selection of albums
@arghyapathak24975 ай бұрын
Sir how can I execute multiple code shell at a time in jupytor
@bazgo-od7yj5 ай бұрын
thank you for saying that bit about word2vec being outdated. a coworker was lobbying to use it for one of our projects and this helped nip that in the bud.
@anupamsaha6745 ай бұрын
Thank you Sir for sharing ..your explanation is always different ..from transformer architecture i am following you..great
@moabdelmoez5 ай бұрын
@Jay, Thank you for the explanation. I found the Colab link is not working, Can you share the updated link, please?
@arp_ai5 ай бұрын
Thanks for the heads up! Updated!
@LIFEFORCEX5 ай бұрын
GRADIUS!!
@wangwu92996 ай бұрын
why input token sh, ank is not a complete word but the output token redemption is a complete word. Are they part of the same vocabulary? Meaning vocabulary = list of all complete words + all fragmentations of each word?
@wangwu92996 ай бұрын
Can you explain the mathematics model behind prompt? I found no mathematics model to explain prompt, just guideline to say you should write prompt as if you are talking to a human being
@shashidixit76786 ай бұрын
/
@hensonjhensonjesse6 ай бұрын
Rlhf makes those models much better so does directional stimulus context.
@youcaio6 ай бұрын
semplicemente f a n t a s t i c o
@erobusblack48566 ай бұрын
if i want to use Gato how do I go about that?🤔
@akremgomri90856 ай бұрын
Hello all, I am comming from the future (4 years after the video has been released), and I hope I am not late XD I love the way you teach <3, it is amazing so keep it up ! I have just one thing to ask : Can we have the code for the language_model class in 26:16 so that we can follow along and code on the fly please ? Thank you
@laostalk6 ай бұрын
Very practical and useful information. Thanks!
@tr3vk4m6 ай бұрын
Very cool. Glad someone else has had the idea and actually implemented it.
@Rajdeep-hj2eu6 ай бұрын
u look like gaurav taneja aka flying beast
@linhanwang49377 ай бұрын
Thank you so much! This is really useful for drawing framework figures for research papers!
@KRATIKASHARMA-ig3nj7 ай бұрын
You are awesome Jay Keep up the good work
@ruikang80227 ай бұрын
Thank you. Not related but I really want to know, what font are you using in your blog poster?
@Adishakti_Adiyogi.7 ай бұрын
Thanks for sharing, looking for more valuable content like this
@FabioAlmeida-k6t7 ай бұрын
Excellent explanation, Thanks!
@RakeshGupta-ft6cc7 ай бұрын
Does the agent use an LLM to determine the steps? Can you cover these internal details?
@palomoshoeshoe89857 ай бұрын
Thank you so much for your contribution, i really appreciate it.
@thamerrro42348 ай бұрын
is this supposed to be an ad or no?
@RodrigoRibeiroGomes8 ай бұрын
Excelente!!!
@pythonyousufparyani84078 ай бұрын
Amazing! I am concentrating on LangChain these days.
@MDSujonMia-c4j8 ай бұрын
😮
@brunodepaulak8 ай бұрын
Thank you!
@itsSandraKublik8 ай бұрын
Wonderful walkthrough! 😍
@liorbalmas12608 ай бұрын
Can Tools work only with Langchain? If not, a more general example would be nice..
@arp_ai8 ай бұрын
Langchain is the suggested method now for Command R+, yeah. What other frameworks do you find relevant here?
@Halterofilic8 ай бұрын
2024, still a great reference to Transformers. Million thanks for the amazing work!
@mehmetbakideniz8 ай бұрын
would be better if you could explain the code line by line instead of just mentioning briefly what they are doing. Great video otherwise. I learn alot from your videos.
@abdeljalilelmajjodi49548 ай бұрын
thank you Jay for this beautiful explanation
@sanesanyo8 ай бұрын
Hi Jay, great video. What if the user wants to also provide his/her own data and ask questions related to that, which might also require outside world knowledge (this web search as a tool might still be useful)?
@arp_ai8 ай бұрын
Yeah, should also be possible. The web search is just an example.