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 - 20h 31m.
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 - 20h 31m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Tuesday, 02 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duration:01:56:55
Preface
Duration:03:04:36
Introduction to domain specific llms
Duration:06:05:43
Key concepts in domain specific llms
Duration:06:57:26
Applications across industries
Duration:04:53:28
Creating custom llms for specific domains
Duration:05:08:28
Steps to create domain specific language models
Duration:04:02:55
Steps to create domain specific language models define the domain and objectives
Duration:03:22:07
Steps to create domain specific language models collect and curate domain specific data
Duration:06:20:00
Steps to create domain specific language models pre process and cleanse data
Duration:08:18:19
Steps to create domain specific language models select an architecture or pre trained model
Duration:05:08:00
Steps to create domain specific language models fine tune the model
Duration:05:57:12
Steps to create domain specific language models evaluate model performance
Duration:06:01:00
Steps to create domain specific language models iterative refinement
Duration:04:17:50
Steps to create domain specific language models optimize for efficiency and resource usage
Duration:06:33:26
Steps to create domain specific language models document and share guidelines
Duration:04:46:48
Steps to create domain specific language models deploy and monitor
Duration:04:34:55
Popular domain specific language models
Duration:03:00:31
Popular domain specific language models medicalbert
Duration:05:29:09
Popular domain specific language models legalgpt
Duration:04:41:43
Popular domain specific language models codebert
Duration:04:13:52
Popular domain specific language models finbert
Duration:04:49:00
Popular domain specific language models scibert
Duration:03:31:00
Popular domain specific language models hrchatbot
Duration:03:48:19
Popular domain specific language models tourismtalk
Duration:03:47:36
Popular domain specific language models ecotechai
Duration:01:36:12
Popular domain specific language models edunlp
Duration:04:35:33
Fine tune an llm for domain specific needs
Duration:06:19:04
Challenges and solutions
Duration:04:54:28
Integration with existing systems
Duration:06:11:09
Case studies
Duration:00:14:28
Best practices for training an llm
Duration:04:02:04
Best practices for training an llm start small
Duration:04:50:24
Best practices for training an llm understand scaling laws
Duration:04:53:26
Best practices for training an llm prioritize data quality
Duration:05:23:26
Best practices for training an llm enforce data security and privacy
Duration:03:38:38
Best practices for training an llm monitor and evaluate model performance
Duration:05:15:09
Faqs on domain specific llm
Duration:06:50:00
Faqs on domain specific llm how do i choose the right domain for my llm?
Duration:04:04:48
Faqs on domain specific llm what preprocessing steps are essential for domain specific llms?
Duration:06:32:38
Faqs on domain specific llm how can i fine tune an existing llm for a specific domain?
Duration:04:22:40
Faqs on domain specific llm what challenges are commonly faced in domain specific llm projects?
Duration:05:28:28
Faqs on domain specific llm how can domain specific llms contribute to industry specific applications?
Duration:04:29:26
Future trends and innovations
Duration:05:15:04
Ethical considerations
Duration:05:56:28
Resources and tools
Duration:06:09:45
Guidelines for model evaluation
Duration:04:50:36
Collaboration in language model development
Duration:05:22:36
Leveraging pre trained models for efficiency
Duration:05:03:33
Innovations in natural language understanding
Duration:05:09:14
Scaling up: large scale language models
Duration:05:30:40
Security considerations in language model deployment
Duration:05:55:00
Hugging face domain specific llms
Duration:03:54:45
Hugging face domain specific llms financeconnect 13b
Duration:01:18:09
Hugging face domain specific llms llama2 7b aivision360
Duration:05:36:38
Hugging face domain specific llms llama2 13b aivision360
Duration:05:50:31
Glossary
Duration:04:31:40
Bibliography
Duration:07:29:40
Ending Credits
Duration:02:04:52