Large Language Models (LLMs) vs Natural Language Understanding (NLU)

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In this video, we'll compare and contrast Large Language Models (LLMs) and Natural Language Understanding (NLU). We'll discuss the differences between these two approaches to language processing, their unique strengths and weaknesses, and how they complement each other. Join us for an in-depth look at LLMs and NLU and learn which approach may be best for your AI needs.

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The way you explained the difference between LLM and NLU was really good

sankarnarayanank
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Fine tuning can also be achieved in LLM in the example you give. So FT is not specific to NLU. The difference stands more in the huge resources required to train LLM but in the end both LLM and NLU usually don’t access live informations so both can be wrong or out dated.

mauricecinque
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Checkout our paper on
" Automating Knowledge Acquisition for Content-Centric Cognitive Agents using LLMs" AAAI FSS 2023.

srujayop
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Whilst NLUs are certainly valuable, it’s becoming clear that LLMs (despite their comparable shortcomings) will overtake NLUs in ability in a matter of months, if they haven’t done so already. Modern instruction-tuned LLMs are on a whole different level…

rcnhsuailsnyfiue
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what is the best way to make LLM and NLU work together ? I am working for tech stack can somebody indicate to me ? I was starting with MISTRAL AI and maybe RASA ? any ideas ?

dazdazfzf
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Is it safe to say that with the growing popularity of developing domain specific chat bots using LLM and RAG frameworks has officially killed NLU frameworks like RASA.

chukwudito-anadu
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So fine-tuning LLM makes it NLU? I feel that you are trying to present NLU as something totally different to sell your service.

LLMs can be trained in specific data making it fast better useful for specialization tasks.

aadityabrahmbhatt
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Is LLM a combination of NLP and deep learning??

gaurav