Topics In Demand
Notification
New

No notification found.

Magic behind ChatGPT
Magic behind ChatGPT

March 13, 2023

273

0

๐‚๐ก๐š๐ญ๐†๐๐“ has been making waves in the tech industry lately and everyone is in awe of how is it able to generate human-like responses to natural language inputs. Letโ€™s learn about it in brief:

1. What is working behind the scenes to create this magic?
Its ๐‹๐‹๐Œ (๐‹๐š๐ซ๐ ๐ž ๐‹๐š๐ง๐ ๐ฎ๐š๐ ๐ž ๐Œ๐จ๐๐ž๐ฅ)
Itโ€™s a ๐๐ž๐ž๐ฉ ๐ฅ๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐š๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ that can recognize, summarize, translate, predict, and generate text and other content based on knowledge gained from massive datasets. It is based on the ๐ญ๐ซ๐š๐ง๐ฌ๐Ÿ๐จ๐ซ๐ฆ๐ž๐ซ ๐ฆ๐จ๐๐ž๐ฅ which we will discuss in a later post.

2. But how are ๐‹๐‹๐Œ๐ฌ made?
LLMs are trained on datasets large enough to include nearly everything thatโ€™s on the internet over a large period.
A huge amount of text is fed into the AI algorithm using ๐ฎ๐ง๐ฌ๐ฎ๐ฉ๐ž๐ซ๐ฏ๐ข๐ฌ๐ž๐ ๐ฅ๐ž๐š๐ซ๐ง๐ข๐ง๐ . Through this LLM learns words and the relationships between and concepts behind them.

๐‚๐ก๐š๐ญ๐†๐๐“ is trained on a massive amount of text data, such as books, articles, and web pages.

3. What are LLMs ๐š๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ?
LLMs can be customized for specific use cases, using techniques like ๐Ÿ๐ข๐ง๐ž-๐ญ๐ฎ๐ง๐ข๐ง๐  or ๐ฉ๐ซ๐จ๐ฆ๐ฉ๐ญ-๐ญ๐ฎ๐ง๐ข๐ง๐ , through which they can be trained for a specific application. Applications are endless. A few applications are:
=> ๐‚๐ฎ๐ฌ๐ญ๐จ๐ฆ๐ž๐ซ ๐ฌ๐ž๐ซ๐ฏ๐ข๐œ๐ž: Create chatbots to handle queries and complaints and reduce workload
=> ๐๐ž๐ซ๐ฌ๐จ๐ง๐š๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง: Analyze user behavior and their preferences thus enabling companies to provide personalized recommendations
=> ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก: Analyze large datasets of text, enabling researchers to gain insights into language use and cultural trends.
=> ๐‡๐ž๐š๐ฅ๐ญ๐ก๐œ๐š๐ซ๐ž: LLMs can analyze electronic medical records and assist healthcare professionals in making diagnoses and treatment recommendations.
and many moreโ€ฆ

4. Lots of praise. Are there any ๐œ๐ก๐š๐ฅ๐ฅ๐ž๐ง๐ ๐ž๐ฌ with LLMs?
Challenges do exist. A few of them are:
=> ๐๐ข๐š๐ฌ: Biases present in the data they are trained on can result in biased or unfair outputs. This can have negative implications, such as perpetuating stereotypes or discriminating against certain groups.
=> ๐„๐ง๐ž๐ซ๐ ๐ฒ ๐œ๐จ๐ง๐ฌ๐ฎ๐ฆ๐ฉ๐ญ๐ข๐จ๐ง: Training and running them require significant computational resources, which can lead to high energy consumption and environmental impact
=> ๐ƒ๐š๐ญ๐š ๐ช๐ฎ๐š๐ฅ๐ข๐ญ๐ฒ: Massive amount of high-quality training data to function effectively. However, the quality of data can vary widely, which can affect the quality of the modelโ€™s output

๐๐ฎ๐ญ with rapid innovation and new tech being introduced, these challenges shall soon fade away and customers and enterprises of all sizes will reap benefits from this amazing technology.

#technologyย #aiย #chatGPTย #largelanguagemodelsย #learningย #innovationย #tech


That the contents of third-party articles/blogs published here on the website, and the interpretation of all information in the article/blogs such as data, maps, numbers, opinions etc. displayed in the article/blogs and views or the opinions expressed within the content are solely of the author's; and do not reflect the opinions and beliefs of NASSCOM or its affiliates in any manner. NASSCOM does not take any liability w.r.t. content in any manner and will not be liable in any manner whatsoever for any kind of liability arising out of any act, error or omission. The contents of third-party article/blogs published, are provided solely as convenience; and the presence of these articles/blogs should not, under any circumstances, be considered as an endorsement of the contents by NASSCOM in any manner; and if you chose to access these articles/blogs , you do so at your own risk.


ยฉ Copyright nasscom. All Rights Reserved.