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How to Choose the Right LLM for your Next Project?


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Hi - -,

We are excited to share with you our latest podcast episode, “How to Choose an LLM for Your Next AI Project,” featuring the renowned Dr. Saigeetha Jegannathan (Chief Data Scientist at IBM). This insightful discussion with invaluable insights will help you make informed decisions about large language models (LLMs) for your AI projects.

In this episode, Dr. Saigeetha emphasizes the importance of model selection based on specific use cases such as code generation and application modernization. The conversation also touches on the impact of foundational models on industries by solving complex problems that traditional AI/ML methods struggled with. Below is a breakdown of the topics discussed in the podcast:
  • What is Generative AI
  • Foundational Models
  • Types of Large Language Models (LLMs)
  • Selecting the Right LLM Model
  • Large vs. Small Foundational Models
  • Challenges in Using LLMs
  • SLMs vs. Traditional AI
  • Are SLMs Separate from LLMs?
  • Accuracy Metrics for LLMs
  • SLMs vs. LLMs by Use Case
  • Insights into Model Performance
  • Code Generation Capabilities of LLMs
Explore ProjectPro's extensive library featuring over 250+ reusable data science and data engineering project templates designed for NLP, Computer Vision, Deep Learning, LLM,  and other tasks. ProjectPro offers a unique opportunity to gain hands-on experience and upskill. Book a Demo or hit reply to this email for personalized guidance or queries about our projects. 

Best Regards, 
Anjali from ProjectPro
Helping Every Developer Become a 10x Developer

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