Perfect. I was just getting started to look into langgraph and was looking for a video and this one was just perfect.
@JoshuaStroblАй бұрын
Martin is such a fantastic presenter.
@abiofficial-ws7pn2 ай бұрын
I've said this before, and I'll say it again. His voice is soothing, and it's the reason I often watch his videos, even when I don't understand much of it
@MojoGera-cm3umАй бұрын
Too soothing and sloow.. puts me to sleep actually!
@TheHillsHaveFPV23 күн бұрын
im just trying to figure out how he writes backwards
@TsviGirshАй бұрын
Great presenter! Very clear and informative, thanks a lot. 💯
@SammeerSRaawatАй бұрын
Awesome video. Simple, crisp and to the point
@CourtsDigital5 күн бұрын
Great explanation. Very impressed by his ability to write backwards!
@ErroneousTheory2 ай бұрын
What a way to start a Monday. I’ve been meaning to look into this
@emiremark2889Ай бұрын
great video to explain the difference of LangChain to LangGraph
@mohamedkarim-p7jАй бұрын
Thank for sharing👍
@SathishKumar-qk4hu13 күн бұрын
Thankyou. Can you please do a video on phidata?
@LaylaBitar-z7z2 ай бұрын
Wow, so simply put! Thanks!
@kishanmod58572 ай бұрын
Insightful as always 😊
@sinhueАй бұрын
Soft and cute way to learn a complex game amazing content ❤
@tahirk92 ай бұрын
Exactly what I was lookig for, Thanks!!
@throughiris86762 ай бұрын
The one thing I can think about is, "Is he writing in reverse?" If he's writing on the backside of this glass wouldn't he have to write backwards, like in a mirror, for it top appear normal to the camera? It can't be a post effect where you flip it for the video because then this hand and marker wouldn't match the writing. The writing looks too natural and fluid to be in reverse...or is it? I can't pay attention to anything else till I figure this out
@IBMTechnology2 ай бұрын
If you want to see how it's done, check out this behind the scenes video kzbin.info/www/bejne/i6DdkKKpe9mqbJofeature=shared
@StuartAxonАй бұрын
@@IBMTechnology I was wondering the same thing: and wondering if I could tell if the whole thing was mirrored by seeing which way the gestures go.
@IBMTechnologyАй бұрын
That's the reason why we avoid saying left or right or why you don't see anyone with text on their shirts. The only other real clue is how many people are seemingly writing with their left hands.
@Data_scientist_t3rmi29 күн бұрын
Summurize part i guess it is not automatic, usually the retriever provide chunks of text with limited token size then the prompt LLM will concatinate these chunks and tried to generate an answer based on the context
@GenAISpotlight2 ай бұрын
Excellent video, thank you 👏
@cj82-h1y28 күн бұрын
This dude's real good at writing backwards!
@CBess22 күн бұрын
It is mirrored, not him writing backwards. Camera behind the board, video is flipped horizontally.
@MySaravanАй бұрын
nice explanation with usecase
@AleksandrSedov-o6o2 ай бұрын
Nice format, great insights! Not many ways to get that..
@leonardosilveira12972 ай бұрын
Amazing as always!
@happiness54328 күн бұрын
How are they writing mirror words?
@tee_iam782 ай бұрын
nice video. thank you.
@Nexar266 күн бұрын
How is this working that he is writing on the screen and we see it correctly?!
@NLPprompter2 ай бұрын
wow cool video, kind to go langchain some more?
@raptordudu2 ай бұрын
Can Laingraph do sequential tasks? If so why do we still need lainchain?
@avidlearner8117Ай бұрын
LangGraph is the agent step management and tool access. LangChain is a whole framework to build applications with loaders (for file types, per example), third parties integration (like Outlook) and so on. Both use AI.
@engenglish6102 ай бұрын
It's free to use langraph?
@konrad-carrot-manager2 ай бұрын
I too want to know! Is this a glass between camera and presenters? That would make the text and drawings reversed (mirrored). Or is this a mirror and the speakers are looking at the mirror? Then where is the camera in the reflection? :)
@hajii346313 күн бұрын
i switched my focus on how he's writing backwards so it appears correct to us.
@xmlviking4 күн бұрын
LangGraph feels very Actor Model. I think I like it.
@Minotaurus0072 ай бұрын
Hmm... While LangChain is easy to understand (great video btw), LangGraph is presented a little bit too abstract here. Perhaps some examples would have helped.
@Semtex77721 күн бұрын
1M for IBM Tech
@قيمنقعبود-ب2لАй бұрын
How about llama index
@ChigosGamesАй бұрын
Great explaination and easy to follow! So from my understanding ChatGPT would be a Langgraph type of application, since it keeps long context and has internet access?
@VaibhavPatil-rx7pcАй бұрын
Blockchain and ai new trand 🎉
@metacob5 күн бұрын
I got distracted by the realization that the presenter probably isn't left-handed
@weash332 күн бұрын
Pin sidda wewa 🙏
@anaghashinde12002 ай бұрын
How do u make these videos???
@crispytek6783Ай бұрын
In front of the camera there is a glass pane, behind which he's standing facing the camera. Now, he draws with the marker pen on the glass. This results in an inverted text being recorded. Lastly, while editing, the video is mirrored (flipped) horizontally.
@SuperCatbert2 ай бұрын
very good
@justinoneill2837Ай бұрын
are you writing backwards?
@Sergio-Sanchez-comАй бұрын
it’s probably mirrored horizontally
@fuad4712 ай бұрын
still not clear the difference of two frameworks in a practical manner. would need real-case examples to get the topic. For now cant decide which one to use when in what situation, can both tools handle same projects for ex ?
@АндрейПонамарев-ж2г2 ай бұрын
because you'll still need to use agent (agent classes) from langchain while building the graph
@АндрейПонамарев-ж2г2 ай бұрын
The best way to do it is to try it out. Build simple RAG locally or in Azure Portal with PostgreSQL vector DB and some simple agent (you can find ready to go examples in documentation) + add tools (description for agent on how and when to use this tool - ex. cover specific dataset; and prompt - to streamline further generation). It will cost you nothing, 2-3 days to play with it Real-case - me and my team build AI Assistant for an investment company. We store info about their investment products and help their clients to search for them or get recommendations. User asks the question regarding specific asset domain/sector. Agent analyzes the question, decides which data collection to retrieve from, which tool to use to process this data and gives everything to LLM which generates the final answer. This is langchain
@АндрейПонамарев-ж2г2 ай бұрын
Talking about LangGraph - we can not only add new tools and prompts to cover different questions, but create workflows with several: tools /agent decisions /places to retrieve data/ switching between SQL or vector search. Besides that, there are various ways to augment or finetune the workflow (graph).
@markthien2 ай бұрын
how did this guy fraw on a transparent board? is this a web platform? anyone know? thanks bro!
@mao73a2 ай бұрын
I suspect it's just a glass in front of the camera. In post processing they flip screen sides to make it readable for the audience.
@dataproject4199Ай бұрын
I would like to see a real example to understand better. Thanks
@teckyap70152 ай бұрын
Anyone here wants to know about real world applications which are using these mentioned framework? 😅
@kevincitron23352 ай бұрын
Well made vid. But. Show me some actual implementation examples.
@snakebyteOne25 күн бұрын
Don't need the cheesy dialogue - the contents of the video are compelling enough
@codewithbrogs38092 ай бұрын
Uhhhh... that's not a correct explanation of chaining
@staminadaddy29 күн бұрын
So what is? Please edify us :)
@27455628Ай бұрын
Those explanation meant nothing unless there is a real-life example to actually show the differences.