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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.
Learn more about LLMs on our latest blog article: www.boost.ai/b...

Опубликовано:

5 сен 2024

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Комментарии : 14

@sankarnarayanank5384 Год назад

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

@mauricecinque5618 4 месяца назад

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.

@owl_0001 7 месяцев назад

thank you.

@srujayop 8 месяцев назад

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

@rcnhsuailsnyfiue2 Год назад

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…

@boostai Год назад

Hi Jacob! LLMs and NLU both have their advantages and disadvantages. What we see as the way forward for creating chatbots is a hybrid of both technologies. That way, the generative functionality of LLMs can still be leveraged by businesses without compromising as much on accuracy and reliability.

@chukwudito-anadu9676 4 месяца назад

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.

@dazdazfzf 4 месяца назад

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 ?

@TaiTran-hu1py Год назад

thank you so much for the explaining

@aadityabrahmbhatt 11 месяцев назад

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.

@boostai 11 месяцев назад

hi! the point the video is trying to make is that both NLU and LLMs have their own pros and cons - where the real benefit presents itself is in combining the two technologies together to get bot accuracy (NLU) creativity (LLM). hope that helps!