What are Foundation Models? | Generative AI | In-depth Explanation in Hindi | CampusX

preview_player
Показать описание
Foundational models in gen AI are a type of machine learning (ML) model that is pretrained to perform a range of tasks. They have two defining characteristics: transfer learning and scale. Transfer learning refers to the ability of a model to apply information about one situation to another and build upon its knowledge. Scale refers to hardware, specifically, graphics processing units (GPUs), that allow the model to perform multiple computations simultaneously, also known as parallel processing. Deep learning, a technology that underpins many foundation models, teaches computers to learn through observation, imitating the way humans gain knowledge. Transformers, a type of artificial neural network (ANN), are often used in foundation models that involve text, allowing them to capture contextual relationships and dependencies between words. After a foundation model has been trained, it can rely on the knowledge gained from the huge pools of data to help solve problems, providing valuable assistance in tasks such as natural language processing (NLP), computer vision, and audio processing.

============================
Did you like my teaching style?
============================

📱 Grow with us:

✨ Hashtags✨
#GENAI #FoundationalModel #CampusX
Рекомендации по теме
Комментарии
Автор

00:02 2022 brought a transformation in AI with the emergence of foundation models.
02:36 Foundation models are large neural network architectures trained on massive data to solve specific tasks.
07:37 Foundation models require diverse and massive data for training.
09:59 Modality selection is crucial in building foundation models
14:48 Foundation models are massive neural network architectures trained on extensive datasets.
17:15 Foundation models undergo pre-training and alignment stages to gain knowledge and adaptability.
22:28 Fine-tuning adds extra knowledge to a pre-trained model.
24:45 Foundation models act as a pre-training stage for later fine-tuning
30:04 Foundation models have high adoption rates for various industry tasks
32:22 Foundation models can be categorized into language-based, vision-based, multimodal, and domain-specific types.
37:45 Foundation models are an active area of research and development with potential advantages and disadvantages.
40:11 Foundation models can exhibit bias and ethical concerns due to the data they are trained on.
45:54 Foundation models require high computing power and pose environmental concerns.
48:18 Foundation Models are essential in Generative AI.

officialamit
Автор

waiting for 100 days of generative AI playlist. @CampusX

prateekkhandelwal
Автор

Sir Please DL ki playlist continue kro.

waghakshay
Автор

Always looking forward for your videos, regularly checking on the updates on this channel. Keep it up bro. You are the amazing content creator on Data Science and Machine Learning

WaqarAhmed-frjv
Автор

Always looking forward for your videos.Thanks.

aidev
Автор

Sir please deep learning ki playlist continue kariye...it is amazing. Thank you ❤

abhisheksharma
Автор

Great thanks for explaining Foundation model concept. Need more videos/course in this area of GENAI. Appreciate your hard work and knowledge Nitin

jatingrover
Автор

Comprehensive summary of the landscape…foundation to fine tuned et all

lambar
Автор

You are amazing Nitish...no one like you 👃👃

pavangoyal
Автор

Well explained!! Thank you Nitish sir for your efforts❤❤

Sandesh.Deshmukh
Автор

great explanation sir, we need more videos on gen Ai, please explains topics like RAG etc in future

shashankshekharsingh
Автор

What contribution of Data Scientist in the formation of the Foundation Model or Using the Foundational model to make specific task.

officialamit
Автор

Excellent explanation!! Thank you so much Nitish! :)

deeek
Автор

Sir please sir we are really waiting for your next batch very eagerly just give us at least some hint for the next batch and when would it start

RakshithML-votr
Автор

Liking without watching because nitish sir never disappoints in terms of quality content he delivers ❤❤❤

abhayrana
Автор

Good explanation. What about research opportunity in FM

ahmadishaq
Автор

Sir please make playlist on Generative AI and complete DL playlist

tannaprasanthkumar
Автор

Weather forecasting jese task k liye konsa model fine tune krrnge??

Prateikx
Автор

Sir apne dsmp1 me plotly dashboard ka video dala hai is it important for data scientist

brockgaming
Автор

Sir very good demonstration. I have two request to you for future video, (1) if possible can you teach how to generate simple foundation model from gpt for any task. (2) One detail explanation video on RT-2 model (Google Deepmind) .... Thanks in advance.

rajmeetsingh