Building AI Portfolios

Hiring managers prioritize completed projects, making a strong portfolio essential for success in machine learning and AI. Explore how to create diverse projects on platforms like Hugging Face and GitHub, while engaging in real-world assignments such as retail demand forecasting and deploying AI models. Additionally, gain clarity on the distinctions between large language models and agentic AI, as their integration continues to evolve and enhance functionality.

In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
809: Agentic AI — with Shingai Manjengwa
Related Questions
- How are large language models (LLMs) trained, as discussed in the episode 670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns) and the clip Llama Model Insights?
- How are large language models (LLMs) trained as discussed in the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?

Building AI Portfolios

In this clip

From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn

809: Agentic AI — with Shingai Manjengwa

Related Questions

How are large language models (LLMs) trained, as discussed in the episode 670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns) and the clip Llama Model Insights?

How are large language models (LLMs) trained as discussed in the episode Synthetic Data with Alex Watson, Founder of Gretel AI, and the clip AI Revolutionizes Tabular Data?