Meer manieren om Llama 3 te draaien | Build with Meta Llama More ways to run Llama 3 | Build with Meta Llama

Download Meta Llama 3 ➡️ https://go.fb.me/0mr91h Navyata Bawa van Meta bespreekt verschillende manieren om Meta Llama-modellen te hosten of te draaien, waaronder AWS, Kaggle, Vertex AI en meer, en geeft je voorbeelden, demo's en bronnen om aan de slag te gaan. # Tijdstempels 00:00 Intro 00:37 Llama draaien in de cloud 01:03 Llama draaien op AWS 01:49 Llama draaien op Kaggle 02:22 Llama draaien op Google Cloud Platform 03:13 Llama draaien bij API-providers 03:43 Llama-modellen serveren met TorchServe 04:20 Llama uitrollen met VLLM en TGI 05:00 De Llama Recipes-repo en demo's 06:03 Links en bronnen # Extra bronnen • Llama 3 overal draaien: https://llama.meta.com/docs/llama-everywhere • Getting Started-gids: https://go.fb.me/90gu7x • Recepten voor fine-tuning, inferentie en API-providers: https://go.fb.me/i05hes • Kennismaken met Llama - notebook: https://github.com/meta-llama/llama-cookbook/blob/main/getting-started/build_with_llama_4.ipynb • Llama recipes-repo met use cases: https://go.fb.me/i05hes • Prompt engineering met Llama 2 & Llama 3 op Deeplearning.ai: https://go.fb.me/uu10tv • Model Card: https://go.fb.me/y8cvs5 - - - Abonneer je: https://www.youtube.com/aiatmeta?sub_confirmation=1 Meer over ons werk: https://ai.meta.com # Volg ons op social media Volg ons op Twitter: https://twitter.com/aiatmeta/ Volg ons op LinkedIn: https://www.linkedin.com/showcase/aiatmeta Volg ons op Threads: https://threads.net/aiatmeta Volg ons op Facebook: https://www.facebook.com/AIatMeta/ Volg Navyata op Twitter: https://twitter.com/navyatabawa

Download Meta Llama 3 ➡️ https://go.fb.me/0mr91h Navyata Bawa from Meta will discuss some of the different ways to host or run Meta Llama models, including AWS, Kaggle, Vertex AI and others — and provide you with examples, demos and resources to help you get started. # Timestamps 00:00 Intro 00:37 Running Llama in the cloud 01:03 Running Llama on AWS 01:49 Running Llama on Kaggle 02:22 Running Llama on Google Cloud Platform 03:13 Running Llama on API providers 03:43 Using TorchServe to serve Llama models 04:20 Using VLLM and TGI to deploy Llama 05:00 Llama Recipes repo and demos 06:03 Links and resources # Additional Resources • Run Llama 3 everywhere: https://llama.meta.com/docs/llama-everywhere • Getting Started Guide: https://go.fb.me/90gu7x • Fine-tuning, inference and API provider recipes: https://go.fb.me/i05hes • Getting to know Llama - Notebook: https://github.com/meta-llama/llama-cookbook/blob/main/getting-started/build_with_llama_4.ipynb • Llama recipes repo with use cases: https://go.fb.me/i05hes • Prompt Engineering with Llama 2 & Llama 3 on Deeplearning.ai: https://go.fb.me/uu10tv • Model Card: https://go.fb.me/y8cvs5 - - - Subscribe: https://www.youtube.com/aiatmeta?sub_confirmation=1 Learn more about our work: https://ai.meta.com # Follow us on social media Follow us on Twitter: https://twitter.com/aiatmeta/ Follow us on LinkedIn: https://www.linkedin.com/showcase/aiatmeta Follow us on Threads: https://threads.net/aiatmeta Follow us on Facebook: https://www.facebook.com/AIatMeta/ Follow Navyata on Twitter: https://twitter.com/navyatabawa