Weights and Biases Link: https://wandb.me/ai_explained
AI Insiders: https://www.patreon.com/AIExplained
Llama 3.1 Paper: https://scontent-lhr6-2.xx.fbcdn.net/v/t39.2365-6/452387774_1036916434819166_4173978747091533306_n.pdf?_nc_cat=104&ccb=1-7&_nc_sid=3c67a6&_nc_ohc=t6egZJ8QdI4Q7kNvgEv-5bU&_nc_ht=scontent-lhr6-2.xx&oh=00_AYA6GoJPv0IACGeU2etgEvigNDflXdkYS7rn8n78COiDzg&oe=66A67B0D
Llama 405B Web Release: https://ai.meta.com/blog/meta-llama-3-1/
Zuckerberg Money Run Out Interview: https://www.youtube.com/watch?v=Vy3OkbtUa5k
Zuckerberg Llama 4: https://www.youtube.com/watch?v=YuIc4mq7zMU
OpenAI Losses: https://www.theinformation.com/articles/why-openai-could-lose-5-billion-this-year?rc=sy0ihq
Nvidia Nims: https://build.nvidia.com/explore/discover?snippet_tab=Python#llama-3_1-405b-instruct
Open Source Definition: https://opensource.org/deepdive/drafts/the-open-source-ai-definition-draft-v-0-0-8
Data Disappearing: https://www.nytimes.com/2024/07/19/technology/ai-data-restrictions.html
Infinite Bench: https://arxiv.org/pdf/2402.13718
ARC-A12 Challenge: https://www.semanticscholar.org/reader/88bb0a28bb58d847183ec505dda89b63771bb495
Adversarial Examples: https://arxiv.org/pdf/1707.07328
‘Systemic Risk’: https://x.com/deanwball/status/1815826885663658445/photo/1
Zuckerberg-Hawley Letter: https://www.hawley.senate.gov/hawley-and-blumenthal-demand-answers-meta-warn-misuse-after-leak-metas-ai-model/
Groq Demo: https://x.com/JonathanRoss321/status/1815777714642858313
Altman Letter: https://www.washingtonpost.com/documents/2ea97cb4-34df-4bdd-a100-3572e93fdba1.pdf?itid=lk_inline_manual_4
Lmsys Response: https://x.com/lmsysorg/status/1816010015494529540
Scale Private Leaderboard: https://scale.com/leaderboard
AI Insiders: https://www.patreon.com/AIExplained
Non-hype Newsletter: https://signaltonoise.beehiiv.com/
GenAI Hourly Consulting: https://www.theinsiders.ai/