https://pixelsham.com//wp-content/uploads/2024/05/Dalle3_playbook.pdf
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Meta is the only Big Tech company committed to developing AI, particularly large language models, with an open-source approach.
There are 3 ways you can use Llama 3 for your business:
1- Llama 3 as a Service
Use Llama 3 from any cloud provider as a service. You pay by use, but the price is typically much cheaper than proprietary models like GPT-4 or Claude.
→ Use Llama 3 on Azure AI catalog:
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/introducing-meta-llama-3-models-on-azure-ai-model-catalog/ba-p/4117144
2- Self-Hosting
If you have GPU infrastructure (on-premises or cloud), you can run Llama 3 internally at your desired scale.
→ Deploy Llama 3 on Amazon SageMaker:
https://www.philschmid.de/sagemaker-llama3
3- Desktop (Offline)
Tools like Ollama allow you to run the small model offline on consumer hardware like current MacBooks.
→ Tutorial for Mac:
https://ollama.com/blog/llama3
Panelists include Author and Distinguished Research Scientist in DL/ML & CG at Wētā FX Dr. Andrew Glassner, VFX, Post & Technology Recruiter and VES 1st Vice Chair Susan O’Neal, CTO at Cinesite Group and VES Technology Committee member Michele Sciolette and Shareholder & Co-Chair of Buchalter’s Entertainment Industry Group and Adjunct Professor at Southwestern Law School Stephen Strauss, moderated by VES Technology Committee member and Media & Entertainment Executive, CTO & Industry Advisor Barbara Ford Grant.
See this Instagram post by @boldtron using ComfyUI + Krea
https://www.instagram.com/p/C5v-H0PNYYg/?utm_source=ig_web_button_share_sheet
Stability AI, the maker of the image generator Stable Diffusion, has been very publicly sinking. After securing more than $100 million in fundraising in 2022, the company has spent the better
part of the last year struggling to pay its bills.
1. Introduction to Large Language Models: Learn about the use cases and how to enhance the performance of large language models.
https://www.cloudskillsboost.google/course_templates/539
2. Introduction to Generative AI: Discover the differences between Generative AI and traditional machine learning methods.
https://www.cloudskillsboost.google/course_templates/536
3. Generative AI Fundamentals: Earn a skill badge by demonstrating your understanding of foundational concepts in Generative AI.
https://www.cloudskillsboost.google/paths
4. Introduction to Responsible AI: Learn about the importance of Responsible AI and how Google implements it in its products.
https://www.cloudskillsboost.google/course_templates/554
5. Encoder-Decoder Architecture: Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
https://www.cloudskillsboost.google/course_templates/543
6. Introduction to Image Generation: Discover diffusion models, a promising family of machine learning models in the image generation space.
https://www.cloudskillsboost.google/course_templates/541
7. Transformer Models and BERT Model: Get a comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
https://www.cloudskillsboost.google/course_templates/538
8. Attention Mechanism: Learn about the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
https://www.cloudskillsboost.google/course_templates/537
Today, Mapillary is launching NeRFs, a new feature that will allow you to explore landmarks and popular sites in detailed 3D views – all reconstructed from 2D images uploaded to Mapillary.
https://blog.mapillary.com/update/2024/03/11/Mapillary-NeRF.html
https://www.mapillary.com/app/?lat=17.751177534360437&lng=0&z=1.5
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