Efficient Fine-Tuning of LLMs: Techniques & Best Practices

Efficient Fine-Tuning of LLMs: Techniques & Best Practices

15 Apr 202513:04pm - 15 Apr 202514:04pm

Efficient Fine-Tuning of LLMs: Techniques & Best Practices

About the Event

Fine-tuning large language models (LLMs) involves adapting pre-trained models for specific tasks, enhancing accuracy and relevance. Unlike expensive pre-training, fine-tuning is faster and more cost-effective, offering flexibility to tailor LLMs for domain-specific applications. Techniques like Parameter-Efficient Fine-Tuning (PEFT), including LoRA and QLoRA, enable quick and efficient customization of models


Key Takeaways:

  • Fine-tuning LLMs is a cost-effective way to tailor models for specific tasks and domains.
  • Unlike pre-training, fine-tuning is faster, offering a more efficient path to enhanced accuracy and relevance.
  • Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA and QLoRA enable rapid and effective model customization.
  • Fine-tuning allows for the flexibility to adapt pre-trained models for diverse, domain-specific applications.
  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Kailash Thiyagarajan

Kailash Thiyagarajan

Senior Machine Learning Engineer

Kailash Thiyagarajan is a Senior Machine Learning Engineer with over 18 years of experience in IT, specializing in building scalable, low-latency machine learning systems, advanced recommendation engines, and cross-modal matching techniques. You can reach him on LinkedIn.

Participate in discussion

0/100
Loading...

0/1000

no comment

Registration Details

08 :07 :01 :40

Event starts in

2319

Registered till now

Become a Speaker

Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event

  • Professional Exposure
  • Networking Opportunities
  • Thought Leadership
  • Knowledge Exchange
  • Leading-Edge Insights
  • Community Contribution

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details