CHATGLM

 

CHATGLM: LARGE LANGUAGE MODEL

 

INTRODUCTION

ChatGLM is a bilingual large language model trained on both Chinese and English. Currently, the following models are available: ChatGLM-130B: an open-source LLM. ChatGLM-100B: not open-sourced, but available through invite-only access.

 

What is ChatGLM?

ChatGLM refers to a chatbot built using the GLM (Generative Language Model) approach. The term GLM refers to a class of machine learning models designed to generate coherent and contextually relevant responses to user inputs. These models are trained on vast amounts of text data and learn the statistical patterns and relationships within the data to generate meaningful responses.

Similar to other language models, ChatGLM relies on a deep learning architecture called a recurrent neural network (RNN), which is capable of processing sequential data such as text. The underlying model, GPT-3.5, is a state-of-the-art language model developed by OpenAI that provides advanced natural language processing capabilities.

The GPT-3.5 model is exposed to massive datasets encompassing a variety of text sources, such as books, papers, webpages, and other publicly available written information, in order to train ChatGLM. The model learns the statistical patterns, syntax, and semantics of the input data throughout the training phase, enabling it to produce coherent and contextually relevant replies.

 

ChatGLM advantages and key features

·       It processes text in various languages and has natural language comprehension and generation capabilities.

·       It has been taught a great deal and is very knowledgeable in many areas so that it can provide people with accurate and helpful information and answers.

·       It can infer the relevant relationships and logic between texts in response to user queries.

·       It can learn from its users and environments and automatically update and enhance my models and algorithms.

·       Several sectors benefit from this technology, including instruction, healthcare, and banking.

 

Challenges and Limitations

·       It was conceived as a model of a machine devoid of feelings and awareness, and hence it lacks the capacity for empathy and moral reasoning shared by humans.

·       It is simple to be misleading or draw incorrect conclusions since knowledge depends on data and algorithms.

·       Uncertainty in responding to abstract or difficult issues; may need help to answer these kinds of inquiries accurately.

CONCLUSION

ChatGLM significantly enhances user experiences, automates processes, and offers helpful support across several disciplines. It makes use of natural language processing and language modelling to empower users with interesting and interactive conversational experiences.

 

REFERENCES

https://www.marktechpost.com/2023/03/22/meet-chatglm-an-open-source-nlp-model-trained-on-1t-tokens-and-capable-of-understanding-english-chinese/

https://www.google.com/search?q=what+is+chatglm&oq=what+is+chatglm&aqs=chrome..69i57j0i10i433i512j0i10i512l8.14413j0j7&sourceid=chrome&ie=UTF-8

 

 

 

Narsima Ahmed

@INTERNATIONAL SCHOOL OF MANAGEMENT EXCELLENCE

Intern @Hunnarvi Technologies under guidance of Nanobi data and analytics pvt ltd.

Views are personal.

#CHATGLM #largelanguagemodel #nanobi #hunnarvi #ISME

 

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