Sir , LLMWare Module not Found -- ERROR .. i check the dependencies on the requirement.txt file .. Everything seems to be fine .. while running the code .. streamlit run app.py error display as LLMware module not found . in Venv - i tried to install Pip install LLMWare .. & installation i checked the version of LLMWare .. its says No internal /external cmd found.. 😞
Thanks for this Whenever I give a demo in front of a client and use a large language model, I worry whether it will provide structured output or if it will break my code. We can only use local large language models.
You could start by typing the same question into GPT4 and following the instructions it provides for getting updates automatically from various sources....
I dunno why you call this function calling, it doesn't seem like it to me. It's just calling small models for specific tasks, and the Transformer library already has similar things. To me, function calling is when LLM is trained to extract info based on a schema within a convo, then we use that as input for a function, get the result, and pass it back to the model. So I don't get why you call this function calling. It looks like just smaller models to handle things to me. Please help me if I am missing anything here. Btw Thx for your videos as usual.
SLIM makes function calling easier.... The model has been created for function calling and building AI agents. You can use these models with LLMs to do function calls. I have shown in the second last video on my channel. Have a look at that.... Thanks
Thank you so much for this excellent video on our SLIM models! Clear, detailed and very insightful information as always!💥💫 For more information on SLIMs please check out this video as well: ua-cam.com/video/cQfdaTcmBpY/v-deo.html
I rely on your channel to stay updated and skilled in the field of generative AI. THANK YOU!!!
Glad you enjoy it!
Sir , LLMWare Module not Found -- ERROR .. i check the dependencies on the requirement.txt file .. Everything seems to be fine .. while running the code .. streamlit run app.py error display as LLMware module not found . in Venv - i tried to install Pip install LLMWare .. & installation i checked the version of LLMWare .. its says No internal /external cmd found.. 😞
Thanks for this Whenever I give a demo in front of a client and use a large language model, I worry whether it will provide structured output or if it will break my code. We can only use local large language models.
Bro how do you always stay updated with LLMs model and how you understand and learn quickly every model, would like share some tips or suggestion?
You could start by typing the same question into GPT4 and following the instructions it provides for getting updates automatically from various sources....
Where is the function calling part on the video ?
great! where is defined the schema of the json responses ?
@AIAnytime How can we fine-tune these slim models.
🔥
Thank you sir
hi, do you have any video about create text to speech, and speech using custom model?
thank you
Welcome!
How can we create data for function calling? & fine tune our own llm
amazing! :) thanks!
Glad you like it!
Your videot arw awesome as always. Please do a video on Semantic Kernel
Great suggestion!
Very good
I dunno why you call this function calling, it doesn't seem like it to me. It's just calling small models for specific tasks, and the Transformer library already has similar things. To me, function calling is when LLM is trained to extract info based on a schema within a convo, then we use that as input for a function, get the result, and pass it back to the model. So I don't get why you call this function calling. It looks like just smaller models to handle things to me. Please help me if I am missing anything here. Btw Thx for your videos as usual.
SLIM makes function calling easier.... The model has been created for function calling and building AI agents. You can use these models with LLMs to do function calls. I have shown in the second last video on my channel. Have a look at that.... Thanks
Thank you so much for this excellent video on our SLIM models! Clear, detailed and very insightful information as always!💥💫
For more information on SLIMs please check out this video as well: ua-cam.com/video/cQfdaTcmBpY/v-deo.html