Extract Insights From Interview Transcripts Using LLMs

[egeres]

I can't believe how undervalued is this guy, he's bringing high quality videos that have a huge range of applications and barely receiving many visits with them :/

[maxsturges]

Greg your video tutorials are making the world a better place, I just wanted to remind you of that!!! They are perfect, feels like I hired a mercenary to better understand lang chain and the ai ecosystem. As a full-stack typescript developer I feel confident I can combine your tutorials with my startup idea and run with it. Thanks!

[zandrrlife]

You're probably making a killing consulting right now. Even though I'm well versed with langchain. Still watch your content...well simply because it's 🔥. Stay blessed.

[Amir_Yah]

Great video! Thanks for high-quality content.

[cl]

Great content! Nice to see you launched thimble too! Hoping to launch my support tool soon too!

[oshodikolapo]

Love your langchain tutorials. It's so on point and consise

[tomwalczak]

Great video Greg! Very clear explanation. Will share it with one of my consulting clients, they will find it super useful for extra context & what's possible.

[ChenXibo]

Super cool! I wait for your new vedios every single day.

[literallyshane]

You're videos or so clear, concise and informative. thank you

[remicomte-offenbach]

Great video, super useful! Thanks a lot 🙏🏻

[ptech-vyuc]

With this, I can identify the following entities:

Amounts
Expenses
Incomes
Concept

[gregorykarsten]

Great work Greg. Ive been following your work since before autogpt. Have you considered using open assistant in stead of gpt3.5? Or any other open source llm with vdb and langchain?

[Rocky-xbvc]

Love this! I would love, if you have the time and it seems like a good idea, if you expanded on this and tune a model that act as a sales person.

Say we have a lot of b2b calls. How would you go about training a model that acts as a sales trainer, or assistant that helps reps sell better?

[bradycneal]

Hey Greg! Great stuff. I’ve been binge watching your content.

What do you think about the ability to parse earnings calls? Understanding that a majority of the financial data mentioned is available in financial filings, it may be helpful to capture more of the “unstructured” conversation.

[lyznav]

Could you say more about custom/private data and how to make sure you isolate data that you wouldn't want to send to Open AI? I can see many such use cases where you need to make sure data is not hallucinated (or rather, true but private data is not being regurgitated) in future GPT models. For example, could a bank use Langchain and Pinecone on their customer data?

[rakeshkumarrout]

this is quite helpful.can you help me with some references code/links how to extract transcribe from anyvideo, not just youtube links, any link and do al these analysis after it?

[krisszostak]

Hi Greg, thanks for another great video!
Have you tried utilising Slack bots to chat with documents by any chance?

[rodolphobravo]

Hey, Greg! Great video! Why do we have to use Map Prompt and Combine Prompt if they are the same thing?

```
chain = load_summarize_chain(llm,
chain_type="map_reduce",
map_prompt=chat_prompt_map,
combine_prompt=chat_prompt_combine,
verbose=True
)
```

What is the difference between them?

[happyday.mjohnson]

but doesn't openai now have all your text? So there is no privacy. What are your thoughts about sending your text to openai that has this kind of data?

[kevinozero]

Great video thanks but how did you get the transcript in that format, say from an mp4?