DAY-5: Memory in Langchain - Generative AI Free Community session
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- Опубликовано: 8 сен 2024
- Join us in exploring the fascinating world of memory in LangChain, a fundamental component of our Generative AI course. Discover how LangChain's memory revolutionizes AI creativity, forming the basis of generative algorithms. This deep dive into memory mechanisms goes beyond theory, offering practical insights and hands-on exercises to solidify your understanding.
Checkout the Free GenerativeAI course: ineuron.ai/cou...
Immerse yourself in the intricacies of memory structures within LangChain, a unique feature that sets it apart in the realm of Generative AI. Uncover the role memory plays in enhancing model performance by enabling more nuanced and context-aware creations. As we delve into this aspect of the course, you'll gain valuable expertise in effectively leveraging memory for AI-driven innovation.
Take your skills to the next level as we explore real-world applications where memory in LangChain shines, influencing the creative potential of AI. From chatbots with enhanced conversational memory to dynamic content generation, the possibilities are endless.
Checkout our Free Generative AI Course Playlist - • DAY - 1 | Introduction...
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Checkout Our Free Generative AI Course - ineuron.ai/course/generative-ai-community-edition
Uh have not uploaded the memory of langchain in your notebook please check that out an upload it
Generative AI Very Good Session , You are doing great !!
Keep it up doing a fabulous job
Really explained very nicely...❤
Keep teaching Sunny ji...
Amazing session!
Thank you so much!!!!!!!!!
thanks a lot sir 🤓
Very nice
Hi, I think the mbart-large-50 is not a prediction LLM, but text translation LLM. So it may not work properly here.
Sir in Resources not able to get memory material
how to use open-source LlaMa 2 model instead of open API
Is there any way we can train the pre existing model to make it better?
Generated API key of Huggingface Hub was not used anywhere. May I know in which cases the API key will be used
Do we have any model like pandas ai but it shall run on free model i.e. on GPT 3.5
Why not use Hugging face API: we don't have Openai Api key??.
Can you plz provide code
how to train a model using my own data
It would have been nice instead of OpenAI which is paid and not free, some project and this whole course should have been taught with open source models, else how will people practice, its just like watching a movie without understanding what is going on. Sunny teaches very well , but without practice what is the use of watching lectures. No Point. Use of OpenAI in projects is of what use ? From where will students learning this will pay ? Its not in rupees its in dollars. I would request Ineuron team to please take this seriously.
I mean, Sunny mentioned I think either in his first lecture(Day 1) or a second one (Day 2), that you can access OpenAI API and use ~18 dollars credit (for FREE), but you will have to add your card details in the Personal Account section. By doing so, you will be able to use this 18 dollars, without being charged. Of course, if you will decide to use OpenAI API further, you will have to pay.
This is what I did personally, and everything works really well. So, maybe you can try to do the same thing, just to see how this API works)