The platforms always make the lion share, yes. Imagine how much open AI will make if they keep up their trajectory.
AI
-
Tech Giant’s Failed Control Claims Over AI Systems
By
–
It’s really bad animation but that never stops them from sharing cringe things. My guess is this is another knee jerk reaction so they recover from the constant loss of face of saying they’re in control of something they’ve never controlled and actually can’t control. If they
-
Data Lakes and Industrial IoT Key Takeaways Explained
By
–
Want to dive deep into the world of #datalakes and #IIoT? Check out this article summarizing the key takeaways from the recent All Things IIoT Day session. http://
ow.ly/TpzV50NsCmV #sponsored #hitachivantara_iiot #datascience #industrialIoT @BigDataMinded @YvesMulkers via @fogoros -
Local LLMs on Gaming GPUs: Cost and Future Potential
By
–
Currently it’s not, it would costs dollars per hour per player. But I expect this will change soon when small but capable LLMs will run locally on player’s GPU.
-
Pre-trained LLMs for NPC Game Control via Prompting
By
–
You need pre-trained LLM which doesn’t need to be fine-tuned for this game (e.g. GPT3.5) and you prompt it with NPC’s observations, personality traits, memories and description of possible game actions/goals.
This is the principle. Then the devil is in the details… to make it -
GitHub CLI Cheat Sheet for Data Science Productivity
By
–
GitHub CLI for Data Science Cheat Sheet: The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a data science, data… https://
kdnuggets.com/2023/03/github
-cli-data-science-cheat-sheet.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=github-cli-for-data-science-cheat-sheet
… -
AI Model Next-Token Distribution and Sampling Explained
By
–
Even for pre-trained models without tuning/RLHF, what’s actually modeled is the next-token distribution. A completion made by repeated temperature / top-p sampling has free parameters and isn’t directly optimized as a prediction of anything during training
-
LLMs Emulate Complex Human Behavior Without Hardcoding
By
–
Yeah, something like that but way more complex because LLMs can emulate human behavior and so
It doesn’t need to be hardcoded as it’s traditionally done in games. -
Pythia: Suite for Analyzing LLMs Across Training and Scaling
By
–
9/ Pythia – a suite for analyzing LLMs across training and scaling; includes 16 LLMs trained on public data and ranging in size from 70M to 12B parameters.
-
SegGPT: Generalist Segmentation Model with In-Context Learning
By
–
10/ SegGPT – unifies segmentation tasks into a generalist model through an in-context framework that supports different kinds of data.https://t.co/PiocmACjfo
— DAIR.AI (@dair_ai) 9 avril 202310/ SegGPT – unifies segmentation tasks into a generalist model through an in-context framework that supports different kinds of data.