Keep downtopc Online Please

DVDFab StreamFab 6.1.1.2 (x64) Multilingual

2 024 3

DVDFab StreamFab 6.1.1.3 (x64) Multilingual

959 3

DVDFab StreamFab 6.1.1.1 (x64) Multilingual

1 810 15

DVDFab StreamFab 6.1.2.3 (x64) Multilingual

772 0

DVDFab StreamFab 6.1.0.7 (x64) Multilingual [Updated v1.1]

1 182 6

DVDFab StreamFab 6.1.1.4 (x64) Multilingual

732 2

DVDFab StreamFab 6.1.1.7 (x64) Multilingual

749 0

StreamFab 6.1.2.5 Multilingual

463 0

StreamFab 6.1.2.6 Multilingual

476 1

DVDFab StreamFab 6.1.1.0 (x64) Multilingual

566 0

DVDFab StreamFab 6.1.1.8 (x64) Multilingual

361 0

DVDFab StreamFab 6.1.0.9 (x64) Multilingual

351 0

DVDFab StreamFab 6.1.2.1 (x64) Multilingual

196 0

StreamFab 6.1.2.3 Multilingual

197 2

StreamFab 6.1.2.8 Multilingual

250 0

DVDFab StreamFab 6.1.1.3 (x64) Multilingual Portable

238 0

StreamFab 6.1.3.1 Multilingual Portable

117 0

eM Client Pro 9.2.1735 Multilingual [Updated]

1 342 10

DVDFab StreamFab 6.1.1.6 (x64) Multilingual

350 2

DVDFab StreamFab 6.1.1.9 (x64) Multilingual

433 1

Partners

LLaMa for Developers

Like 0

Category: Courses / Others

Author: AD-TEAM

Date added: 18.04.2024 :36:39

Comments: 0

Description material

LLaMa for Developers
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 35m | 257 MB

Instructor: Denys Linkov
In this course, learn how to customize open-source AI models with one of the most common open-source models, LLaMa (Large Language Model Meta AI). Instructor Denys Linkov shares a hands-on approach to working with LLaMa, explaining LLaMa architecture, prompting, deploying, and training models. He uses a series of Python notebooks to show you how to adapt LLaMa to your use cases and employ it in an enterprise or startup environment.

Exercise Files on GitHub

More Info