What We Learned from a Year of Building with LLMs (for True...

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Computers - Artificial Intelligence (AI)
What We Learned from a Year of Building...

What We Learned from a Year of Building with LLMs (for True Epub)

Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, Jason Liu & Shreya Shankar

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Ready to build real-world applications with large language models? With the pace of improvements over the past year, LLMs have become good enough for use in real-world applications. LLMs are also broadly accessible, allowing practitioners besides ML engineers and scientists to build intelligence into their products. In this report, six experts in AI and machine learning present crucial, yet often neglected, ML lessons and methodologies essential for developing products based on LLMs. Awareness of these concepts can give you a competitive advantage against most others in the field.

Categories:

Computers - Artificial Intelligence (AI)

Year:

2024

Publisher:

O'Reilly Media, Inc.

Language:

english

Pages:

File:

PDF, 1.09 MB

IPFS: