Domain-specific LLMs
Et Tu Code
This audiobook is a comprehensive guide to leveraging Language Models (LLMs) tailored for specific domains. Here's what each section offers:
Introduction to Domain-specific LLMs: Lay the groundwork by understanding the fundamentals of Domain-specific LLMs
Key Concepts in Domain-specific LLMs: Delve deeper into core principles like domain adaptation, fine-tuning, and transfer learning,
Creating Custom LLMs: Learn to build custom Language Models tailored to specific domains
Steps to Create LLMs: Follow a roadmap for creating Domain-specific Language Models, from data acquisition to model training and evaluation.
Popular LLMs: Explore popular models like BERT, GPT, and XLNet customized for specific industries, comparing features and performance.
Fine-tuning LLMs: Master techniques for optimizing model performance and adapting to new tasks in specialized domains.
Integration with Systems: Discover best practices for integrating LLMs into existing systems and workflows seamlessly.
Resources and Tools: Access a curated collection of resources, datasets, and tools to support LLM development.
Pre-trained Models: Harness pre-trained models to expedite development and enhance efficiency in LLM projects.
Security Considerations: Address security concerns related to LLM deployment, ensuring robustness and integrity.
Hugging Face LLMs: Discover Hugging Face's Domain-specific LLMs platform for accessing pre-trained models.
Whether you're a researcher, developer, data scientist, or industry professional, "Domain-specific LLMs" equips you with the knowledge, skills, and insights to harness the full potential of Language Models in specialized domains.
Duration - 4h 44m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Tuesday, 02 January 2024.
Copyright - © 2024 Et Tu Code ©.
Location:
United States
Description:
This audiobook is a comprehensive guide to leveraging Language Models (LLMs) tailored for specific domains. Here's what each section offers: Introduction to Domain-specific LLMs: Lay the groundwork by understanding the fundamentals of Domain-specific LLMs Key Concepts in Domain-specific LLMs: Delve deeper into core principles like domain adaptation, fine-tuning, and transfer learning, Creating Custom LLMs: Learn to build custom Language Models tailored to specific domains Steps to Create LLMs: Follow a roadmap for creating Domain-specific Language Models, from data acquisition to model training and evaluation. Popular LLMs: Explore popular models like BERT, GPT, and XLNet customized for specific industries, comparing features and performance. Fine-tuning LLMs: Master techniques for optimizing model performance and adapting to new tasks in specialized domains. Integration with Systems: Discover best practices for integrating LLMs into existing systems and workflows seamlessly. Resources and Tools: Access a curated collection of resources, datasets, and tools to support LLM development. Pre-trained Models: Harness pre-trained models to expedite development and enhance efficiency in LLM projects. Security Considerations: Address security concerns related to LLM deployment, ensuring robustness and integrity. Hugging Face LLMs: Discover Hugging Face's Domain-specific LLMs platform for accessing pre-trained models. Whether you're a researcher, developer, data scientist, or industry professional, "Domain-specific LLMs" equips you with the knowledge, skills, and insights to harness the full potential of Language Models in specialized domains. Duration - 4h 44m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Tuesday, 02 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duration:00:01:56
Preface
Duration:00:03:04
Introduction to domain specific llms
Duration:00:06:05
Key concepts in domain specific llms
Duration:00:06:57
Applications across industries
Duration:00:04:53
Creating custom llms for specific domains
Duration:00:05:08
Steps to create domain specific language models
Duration:00:04:02
Steps to create domain specific language models define the domain and objectives
Duration:00:03:22
Steps to create domain specific language models collect and curate domain specific data
Duration:00:06:20
Steps to create domain specific language models pre process and cleanse data
Duration:00:08:18
Steps to create domain specific language models select an architecture or pre trained model
Duration:00:05:08
Steps to create domain specific language models fine tune the model
Duration:00:05:57
Steps to create domain specific language models evaluate model performance
Duration:00:06:01
Steps to create domain specific language models iterative refinement
Duration:00:04:17
Steps to create domain specific language models optimize for efficiency and resource usage
Duration:00:06:33
Steps to create domain specific language models document and share guidelines
Duration:00:04:46
Steps to create domain specific language models deploy and monitor
Duration:00:04:34
Popular domain specific language models
Duration:00:03:00
Popular domain specific language models medicalbert
Duration:00:05:29
Popular domain specific language models legalgpt
Duration:00:04:41
Popular domain specific language models codebert
Duration:00:04:13
Popular domain specific language models finbert
Duration:00:04:49
Popular domain specific language models scibert
Duration:00:03:31
Popular domain specific language models hrchatbot
Duration:00:03:48
Popular domain specific language models tourismtalk
Duration:00:03:47
Popular domain specific language models ecotechai
Duration:00:01:36
Popular domain specific language models edunlp
Duration:00:04:35
Fine tune an llm for domain specific needs
Duration:00:06:19
Challenges and solutions
Duration:00:04:54
Integration with existing systems
Duration:00:06:11
Case studies
Duration:00:00:14
Best practices for training an llm
Duration:00:04:02
Best practices for training an llm start small
Duration:00:04:50
Best practices for training an llm understand scaling laws
Duration:00:04:53
Best practices for training an llm prioritize data quality
Duration:00:05:23
Best practices for training an llm enforce data security and privacy
Duration:00:03:38
Best practices for training an llm monitor and evaluate model performance
Duration:00:05:15
Faqs on domain specific llm
Duration:00:06:50
Faqs on domain specific llm how do i choose the right domain for my llm?
Duration:00:04:04
Faqs on domain specific llm what preprocessing steps are essential for domain specific llms?
Duration:00:06:32
Faqs on domain specific llm how can i fine tune an existing llm for a specific domain?
Duration:00:04:22
Faqs on domain specific llm what challenges are commonly faced in domain specific llm projects?
Duration:00:05:28
Faqs on domain specific llm how can domain specific llms contribute to industry specific applications?
Duration:00:04:29
Future trends and innovations
Duration:00:05:15
Ethical considerations
Duration:00:05:56
Resources and tools
Duration:00:06:09
Guidelines for model evaluation
Duration:00:04:50
Collaboration in language model development
Duration:00:05:22
Leveraging pre trained models for efficiency
Duration:00:05:03
Innovations in natural language understanding
Duration:00:05:09
Scaling up: large scale language models
Duration:00:05:30
Security considerations in language model deployment
Duration:00:05:55
Hugging face domain specific llms
Duration:00:03:54
Hugging face domain specific llms financeconnect 13b
Duration:00:01:18
Hugging face domain specific llms llama2 7b aivision360
Duration:00:05:36
Hugging face domain specific llms llama2 13b aivision360
Duration:00:05:50
Glossary
Duration:00:04:31
Bibliography
Duration:00:07:29
Ending Credits
Duration:00:02:04