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Hello all my name is Krush Nayak and welcome to my YouTube channel. So guys as you all know Generative AI, Agentic AI right now is the talk of the town. There are amazing LLM models that are coming up where cost is also getting reduced and recently GPT-5 has also come up from OpenAI. Today in this particular video ... | |
understand where you should really focus on this particular field because this field is quite how a vast in short and many people whose aim is specifically to work in this particular field by getting a job they want to make a successful career transition so definitely this report is must for everyone. This video wi... | |
really focus on in perspective of AI, how you can really create a meaningful impact in companies, how you can get the most benefit out of the specific report itself. This report if I talk about is being surveyed by many many people who are working currently in this particular field itself. So quickly let me share my... | |
the month of June but this report is having so much of information that you should definitely have a look onto this okay and the main reason for making this particular record is that because my audience are focusing on learning multiple things specifically where they should really focus on in generative AI or agent... | |
report is important because they have surveyed hundreds of engineering building in AI about everything from which models they are using to whether they are using a dedicated vector database and all right. So if you see there's some very core important points out of it that for customer facing application three out o... | |
companies and all when they are specifically developing rag application open AI is definitely the most popular models that I've been used apart from that Cloudy from Anthropik is also being used extensively. 70 percentage of the respondents are using rag in some form now this is a very important statement because I... | |
definitely rag the first priority work is rag everybody is trying to automate their specific workflows automate tasks by generating this entire agentic AI application integrating rag in between them right so there are so many different types of rag applications from traditional rags to agentic rag to most different... | |
have adaptive rag so many different kind of rags are definitely there so for people who have still not explored rag definitely go ahead and explore right now I've seen in interviews many of my students have attended interviews recently the kind of projects has been asked in every interview is related to rag okay ho... | |
lifecycle from data ingestion to data parsing till deployment how you should really go ahead with this more than 50 percentage of the folks are updating the model at least monthly so over here when we say are updating the models I think they are also performing fine-tuning okay audio is poised for major adoption wa... | |
specifically using the majority of agents in production have right access typically with human in the loop so you should also learn this particular concept that is called as human in the loop itself okay with respect to the demographics who have been surveyed you can see software engineers AI engineers founders man... | |
experience in AI ML you can see people who are having good amount of experience or who are building software engineering because now AI is also getting integrated with software engineers work right because at the end of the day they are building the same application where AI really need to be there okay right now t... | |
production in your workspace they're using LLMS for both internal and external use cases at Sims they're using internal tools external tools they're using the combination of internal external tools nothing in production yet but planning to be soon there's some percentage that are not in production but they are using... | |
search recommendation customer support metadata generation sentiment analysis fraud and threat and detection but maximum you can see many number of use cases are built over here I have personally spoken to people who are working in the top four best companies like like your top four companies like ENY, PWC, KPMG the... | |
top most used model but Anthropic Cloudy is also doing really amazing work specifically if I talk about Cloudy 4.1 right Opus, Sonnet they all are some amazing models okay one more very important thing about RAG I really want to talk about is that see here how are people actually interfacing with all these models a... | |
plus prompting the overall answer is RAG 70% of the respondents say that they are using RAG in one way or the another so you can just understand how important this RAG use cases is and with respect to use cases you can see the top three few shot learning RAG and fine-tuning fine-tuning they specifically using Laura,... | |
applications that are specific to a company that is why you actually use fine-tuning okay and how often you update your model 70% of folks are updating their prompts at least monthly and 1 in 10 are doing it so daily just imagine this okay how often do you update your prompts so these are some very basic and import... | |
in my udemy courses and all I have definitely focused on Lang chain Lang graph so that is basically in the top other than that I have explored LAMA index guardrails I've explored DSPY and all these all are very good and probably soon I will also be uploading videos related to it in my youtube channel nowadays I'm f... | |
other modalities include audio image and video so I think this will probably take time with respect to multi-model itself right so this is just one type of information that I really wanted to give because this will actually help you to understand how things are going ahead they have also focused on monitoring and o... | |
onto this but my main aim to specifically talk about over here is that everybody from managers to senior managers to professionals to developers now I think it's time that you should start integrating or think like how you can use generative AI and agentic AI in your day-to-day work because the capabilities of all ... | |
has evolved from past two to three years how we have gone from machine learning to MLOps to LLM Ops now generative AI agentic AI everything is so much in a very speedy manner because companies are building things and that is how we should definitely learn things so I hope you like this particular video this was it a... | |
from my side I'll see you in the next video thank you |
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