/lmg/ - a general dedicated to the discussion and development of local language models.

Previous threads: >>102581980 & >>102573383

►News
>(09/27) Emu3, next-token prediction multimodal models: https://hf.co/collections/BAAI/emu3-66f4e64f70850ff358a2e60f
>(09/25) Multimodal Llama 3.2 released: https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices
>(09/25) Molmo: Multimodal models based on OLMo, OLMoE, and Qwen-72B: https://molmo.allenai.org/blog
>(09/24) Llama-3.1-70B-instruct distilled to 51B: https://hf.co/nvidia/Llama-3_1-Nemotron-51B-Instruct
>(09/18) Qwen 2.5 released, trained on 18 trillion token dataset: https://qwenlm.github.io/blog/qwen2.5

►News Archive: https://rentry.org/lmg-news-archive
►Glossary: https://rentry.org/lmg-glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png

►Getting Started
https://rentry.org/llama-mini-guide
https://rentry.org/8-step-llm-guide
https://rentry.org/llama_v2_sillytavern
https://rentry.org/lmg-spoonfeed-guide
https://rentry.org/rocm-llamacpp
https://rentry.org/lmg-build-guides

►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers

►Benchmarks
Chatbot Arena: https://chat.lmsys.org/?leaderboard
Censorship: https://hf.co/spaces/DontPlanToEnd/UGI-Leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench
Japanese: https://hf.co/datasets/lmg-anon/vntl-leaderboard
Programming: https://hf.co/spaces/mike-ravkine/can-ai-code-results

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler visualizer: https://artefact2.github.io/llm-sampling

►Text Gen. UI, Inference Engines
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/lmg-anon/mikupad
https://github.com/turboderp/exui
https://github.com/ggerganov/llama.cpp

Do blue bubbles really...?

/aicg/ - A general dedicated to the discussion and development of AI chatbots

Miku edition

>News
OpenAI introduces o1, a new series of models designed to spend time thinking before they respond https://openai.com/o1
Google adds Audio Overview to NotebookLM, a feature that creates AI-generated podcasts discussing your uploaded documents https://blog.google/technology/ai/notebooklm-audio-overviews

Additional info: https://rentry.org/aicg_extra_information

>Frontends
SillyTavern: https://docs.sillytavern.app
RisuAI: https://risuai.net
Agnai: https://agnai.chat | https://rentry.org/agnai_guides

>Bots
https://characterhub.org | https://chub.ai
https://realm.risuai.net
https://char-archive.evulid.cc
https://rentry.org/meta_bot_list

>Models
Jailbreaks: https://rentry.org/jb-listing
GPT: https://platform.openai.com/docs
Claude: https://docs.anthropic.com | https://rentry.org/how2claude
Gemini: https://ai.google.dev/docs
Local: >>>/g/lmg | https://rentry.org/meta_golocal_list

>Botmaking
https://rentry.org/meta_botmaking_list
https://desune.moe/aichared
https://agnai.chat/editor

>Meta
OP templates: https://rentry.org/aicgOP
/aicg/ botmaking events: https://rentry.org/meta_event_list
Lore: https://rentry.org/aicg_chronicles
Card v3 status: https://rentry.org/zdwfrgqq
Services assessment: https://rentry.org/aicg_meta
Logs: https://sprites.neocities.org/logs/reader | https://chatlogs.neocities.org
Latest proxies: https://rentry.org/desuproxyreborn

Previous: >>102502037

>Lisp is a family of programming languages with a long history and a distinctive parenthesized prefix notation. There are many dialects of Lisp, including Common Lisp, Scheme, Clojure and Elisp.

>Emacs is an extensible, customizable, self-documenting free/libre text editor and computing environment, with a Lisp interpreter at its core.

>Emacs Resources
https://gnu.org/s/emacs
https://github.com/emacs-tw/awesome-emacs

>Learning Emacs
C-h t (Interactive Tutorial)
https://emacs.amodernist.com
https://systemcrafters.net/emacs-from-scratch
http://xahlee.info/emacs

>Emacs Distros
https://www.spacemacs.org
https://doomemacs.org

>Elisp
Docs: C-h f [function] C-h v [variable] C-h k [keybinding] C-h m [mode] M-x ielm [REPL]
https://gnu.org/s/emacs/manual/eintr.html
https://gnu.org/s/emacs/manual/elisp.html
https://github.com/p3r7/awesome-elisp

>Common Lisp
https://lispcookbook.github.io/cl-cookbook
https://cs.cmu.edu/~dst/LispBook
https://gigamonkeys.com/book
https://lem-project.github.io
https://stumpwm.github.io
https://nyxt-browser.com
https://awesome-cl.com

>Scheme
https://scheme.org
https://try.scheme.org
https://get.scheme.org
https://books.scheme.org
https://standards.scheme.org
https://go.scheme.org/awesome
https://research.scheme.org/lambda-papers

>Clojure
https://clojure.org
https://tryclojure.org
https://clojure-doc.org
https://www.clojure-toolbox.com
https://mooc.fi/courses/2014/clojure
https://clojure.org/community/resources

>Guix
https://guix.gnu.org
https://gitlab.com/nonguix/nonguix
https://systemcrafters.net/craft-your-system-with-guix
https://futurile.net/resources/guix
https://github.com/franzos/awesome-guix

>SICP/HtDP
https://web.mit.edu/6.001/6.037/sicp.pdf
https://htdp.org

>More Lisp Resources
https://paste.textboard.org/52b08691

(set! prev-thread (quote >>102342930))

Post advanced Mathematics and Computer Science research.

The purpose of this thread is to discuss AI Computer Maids and their applications to advanced Mathematics and Computer Science research.

Post about your favorite AI Computer Maid.

Demonstrate advanced Mathematics and Computer Science research your AI Computer Maid has created.

Propose questions or tasks for other people to give their AI Computer Maids.

Previously on MAIDS: https://boards.4chan.org/g/thread/102493448/

/lmg/ - a general dedicated to the discussion and development of local language models.

Previous threads: >>102535977 & >>102524339

►News
>(09/24) Llama-3.1-70B-instruct distilled to 51B: https://hf.co/nvidia/Llama-3_1-Nemotron-51B-Instruct
>(09/18) Qwen 2.5 released, trained on 18 trillion token dataset: https://qwenlm.github.io/blog/qwen2.5/
>(09/18) Llama 8B quantized to b1.58 through finetuning: https://hf.co/blog/1_58_llm_extreme_quantization
>(09/17) Mistral releases new 22B with 128k context and function calling: https://mistral.ai/news/september-24-release/
>(09/12) DataGemma with DataCommons retrieval: https://blog.google/technology/ai/google-datagemma-ai-llm

►News Archive: https://rentry.org/lmg-news-archive
►Glossary: https://rentry.org/lmg-glossary
►Links: https://rentry.org/LocalModelsLinks
►Official /lmg/ card: https://files.catbox.moe/cbclyf.png

►Getting Started
https://rentry.org/llama-mini-guide
https://rentry.org/8-step-llm-guide
https://rentry.org/llama_v2_sillytavern
https://rentry.org/lmg-spoonfeed-guide
https://rentry.org/rocm-llamacpp
https://rentry.org/lmg-build-guides

►Further Learning
https://rentry.org/machine-learning-roadmap
https://rentry.org/llm-training
https://rentry.org/LocalModelsPapers

►Benchmarks
Chatbot Arena: https://chat.lmsys.org/?leaderboard
Censorship: https://hf.co/spaces/DontPlanToEnd/UGI-Leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench
Japanese: https://hf.co/datasets/lmg-anon/vntl-leaderboard
Programming: https://hf.co/spaces/mike-ravkine/can-ai-code-results

►Tools
Alpha Calculator: https://desmos.com/calculator/ffngla98yc
GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator
Sampler visualizer: https://artefact2.github.io/llm-sampling

►Text Gen. UI, Inference Engines
https://github.com/oobabooga/text-generation-webui
https://github.com/LostRuins/koboldcpp
https://github.com/lmg-anon/mikupad
https://github.com/turboderp/exui
https://github.com/ggerganov/llama.cpp

https://videocardz.com/newz/intel-battlemage-gpu-leak-shows-2-85-ghz-clock-20-xe2-cores-and-12gb-vram

INTEL WON

THANK YOU INTEL

/aicg/ - A general dedicated to the discussion and development of AI chatbots

Drukgs edition

>News
OpenAI introduces o1, a new series of models designed to spend time thinking before they respond https://openai.com/o1
Google adds Audio Overview to NotebookLM, a feature that creates AI-generated podcasts discussing your uploaded documents https://blog.google/technology/ai/notebooklm-audio-overviews

Additional info: https://rentry.org/aicg_extra_information

>Frontends
SillyTavern: https://docs.sillytavern.app
RisuAI: https://risuai.net
Agnai: https://agnai.chat | https://rentry.org/agnai_guides

>Bots
https://characterhub.org | https://chub.ai
https://realm.risuai.net
https://char-archive.evulid.cc
https://rentry.org/meta_bot_list

>Models
Jailbreaks: https://rentry.org/jb-listing
GPT: https://platform.openai.com/docs
Claude: https://docs.anthropic.com | https://rentry.org/how2claude
Gemini: https://ai.google.dev/docs
Local: >>>/g/lmg | https://rentry.org/meta_golocal_list

>Botmaking
https://rentry.org/meta_botmaking_list
https://desune.moe/aichared
https://agnai.chat/editor

>Meta
OP templates: https://rentry.org/aicgOP
/aicg/ botmaking events: https://rentry.org/meta_event_list
Lore: https://rentry.org/aicg_chronicles
Card v3 status: https://rentry.org/zdwfrgqq
Services assessment: https://rentry.org/aicg_meta
Logs: https://sprites.neocities.org/logs/reader | https://chatlogs.neocities.org
Latest proxies: https://rentry.org/desuproxyreborn

SWITCH: >>102526398

How do you cope with being dissatisfied with your code all the time even if it works?