Ohh interesting, does folder struct of A1111 change w/ SD2?
CODE
-
Muse AI Model: Examples and Research Paper Available
By
–
Tenéis más ejemplos y el paper sobre Muse en la web del proyecto. (WEB) https://
muse-model.github.io Gracias por leerme y seguidme para aprender más sobre Inteligencia Artificial. Si te ha gustado la info comparte el hilo completo haciendo RT -
AUTOMATIC1111 Stable Diffusion 2.1 macOS CLIP ViT-H Error
By
–
Anyone know why AUTOMATIC1111 web ui doesn't let me run SD2.1 on MacOS? Trying v2-1_768-ema-pruned.ckpt and 768-v-ema.ckpt: FileNotFoundError: [Errno 2] No such file or directory: '/Users/dep/.cache/huggingface/hub/models–laion–CLIP-ViT-H-14-laion2B-s32B-b79K/refs/main'
-
AI Solves 10 International Math Olympiad Problems with HyperTree Method
By
–
Using our HyperTree Proof Search method we created a neural theorem solver that was able to solve 10 International Math Olympiad problems — 5x any previous AI system. More in this post ➡️ https://t.co/dec9VeJhny pic.twitter.com/rns9IffWqx
— AI at Meta (@AIatMeta) 3 janvier 2023Using our HyperTree Proof Search method we created a neural theorem solver that was able to solve 10 International Math Olympiad problems — 5x any previous AI system. More in this post https://
bit.ly/3vBnu3E -
MAML Meta-Learning and Software Architecture Design Principles
By
–
reminds me of MAML meta-learning (
https://
arxiv.org/abs/1703.03400) where the objective is to find weights of a network such that any new task finetunes fast. In Software 1.0 land, equivalent is writing code such that any new desired functionality is simple and doesn't need a refactor. -
Learning Coding Skills Through Building Projects
By
–
I'd make smth and then get coding skills from it as I did
-
Designing Software: Balancing Optimization with Future Flexibility
By
–
Hardest part about designing good software is pricing in potential future needs. Easy to optimize a piece of code while making it impossible to change the spec, or design clean abstractions that will be circumvented once you add a new concept. Anticipating possible futures is key
-
LangChain Memory Human Prefix Parameter Now Customizable
By
–
Add human prefix for memory Previously, in memory the user input was hardcoded to "Human" Now, thanks to Andrew Huang, it is exposed as a parameter that can be controlled https://
langchain.readthedocs.io/en/latest/modu
les/memory/examples/conversational_customization.html#human-prefix
… -
LangChain v0.0.55 Release: Agent and Chain Improvements
By
–
v0.0.55 HuggingFace docs update (
@_lewtun
)
Unify argument names for intermediate steps in map-reduce & refine chains (h/t @johnjnay
)
More graceful handling of agent max iterations (h/t @johnjnay
)
Add human prefix for memory (Andrew Huang) -
LangChain Improves Agent Max Iterations Handling with Final LLM Pass
By
–
More graceful handling of agent max iterations Previously, when an agent reached max iterations, it just stopped with a fixed message Now it makes one final forward pass through the LLM to generate a best guess final answer h/t @johnjnay for idea https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/max_iterations.html
…