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

Jaguar Edition

>News
Meta AI released Llama 3 8B and 70B https://llama.meta.com/llama3
Claude Opus on Amazon Bedrock https://aws.amazon.com/blogs/aws/anthropics-claude-3-opus-model-on-amazon-bedrock
OpenAI released the gpt-4-turbo as stable
Anthropic released the Claude 3 family https://www.anthropic.com/news/claude-3-family

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

>Bots
https://chub.ai
https://chub-archive.evulid.cc
https://booru.plus/+pygmalion
https://rentry.org/meta_bot_list
https://rentry.org/charcardrentrylist

>Guides
https://rentry.org/tavern4retards - https://rentry.org/agnai_guides

>Jailbreaks
https://rentry.org/jb-listing

>Frontends
https://sillytavern.app [SillyTavern]
https://agnai.chat [Agnai]
https://risuai.xyz [RisuAI]
https://docs.miku.gg [Miku]
https://character.ai [Cai]

>Models
gpt: https://platform.openai.com/docs
claude: https://docs.anthropic.com
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
services assessment: https://rentry.org/aicg_meta
try these -> https://rentry.org/weirdbutfunjailbreaksandprompts - https://rentry.org/jinxbreaks
old slaude stuff: https://rentry.org/meta_claude_list
logs: https://chatlogs.neocities.org
aicg botmaking events: https://rentry.org/meta_event_list

Previous: >>100311904

thoughts on condoms?

I have decided that there's no point in hiding your code. Make it public on github. Establish first of all that you are the creator, the public history proves that and can be useful. See if other programmers will understand the code, they likely won't. If they understand the code then you create some useful connections, you will be closer to them than their "boss". There is no nasty business as the whole code is auditable in cases of you being accused of trying to hack somebody. The code of a decent program is very complex and only you understand it. If others want to examine it to study some specific parts for their own creations, let them, you lose nothing.

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

Previous threads: >>100312556 & >>100308258

►News
>(05/02) Nvidia releases Llama3-ChatQA-1.5, excels at QA & RAG: https://hf.co/collections/nvidia/chatqa-15-662ebbf6acc85f5c444029a8
>(05/01) KAN: Kolmogorov-Arnold Networks: https://arxiv.org/abs/2404.19756
>(05/01) Orthogonalized Llama-3-8b: https://hf.co/hjhj3168/Llama-3-8b-Orthogonalized-exl2
>(04/27) Refusal in LLMs is mediated by a single direction: https://alignmentforum.org/posts/jGuXSZgv6qfdhMCuJ
>(04/24) Snowflake Arctic Instruct 128x3B MoE released: https://hf.co/Snowflake/snowflake-arctic-instruct

►News Archive: https://rentry.org/lmg-news-archive
►FAQ: https://wikia.schneedc.com
►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

►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
Programming: https://hf.co/spaces/bigcode/bigcode-models-leaderboard
Censorship: https://hf.co/spaces/DontPlanToEnd/UGI-Leaderboard
Censorbench: https://codeberg.org/jts2323/censorbench

►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/index.xhtml

►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

Techs™ edition

How to request advice:
>Budget
>Intended use (media, source, environment)
>Frequency response preference (basshead, female vocal, treble sensitive, etc.)
>Past gear and your thoughts on them

FAQ:
>Where do I buy IEMs?
Amazon, Aliexpress, Linsoul, Hifigo, Shenzhenaudio, Bloom Audio, MusicTeck, Elise Audio (UK)

>Full Guide (IEMs, Cables, Ear Tips, etc.):
https://rentry.org/c8gqc

>Frequency Response Graph Tool
squig.link

>Budget Wire Over-Ear IEMs:
• Tangzu Wan'er S.G (mild V) - $20
• EPZ Q1 Pro (Harman) - $35
• TRN Conch (bright V) - $35
• Simgot EA500LM (bright V) - $90

>Bullet IEMs:
• Tanchjim Zero (bright neutral) - $15
• Final E500 (dark) - $25
• Tanchjim One DSP (neutral) - $30

>Flathead Earbuds:
• Blue Vido (warm) - $5
• RY4S 32Ω mmcx Plus (V-shape) - $10
• Yincrow X6 (warm) - $10

>USB-C DACs:
• Moondrop Dawn Pro - $50
• Tanchjim Space - $90
• Tempotec Sonata BHD Pro - $90
• Qudelix 5K - $110

>PMPs:
• Surfans F20 (Rockbox) - $120
• Shanling M0 Pro - $130
• HiBy M300 - $200
• Hidizs AP80 Pro-X - $200
• Tempotec V3 - $200

Previous thread: >>100270651

Previous /sdg/ thread : >>100313015

>Beginner UI local install
Fooocus: https://github.com/lllyasviel/fooocus
EasyDiffusion: https://easydiffusion.github.io

>Local install
Automatic1111: https://github.com/automatic1111/stable-diffusion-webui
ComfyUI (Node-based): https://rentry.org/comfyui
AMD GPU: https://rentry.org/sdg-link#amd-gpu
Intel GPU: https://rentry.org/sdg-link#intel-gpu

>Use a VAE if your images look washed out
https://rentry.org/sdvae

>Auto1111 forks
Forge: https://github.com/lllyasviel/stable-diffusion-webui-forge
Anapnoe UX: https://github.com/anapnoe/stable-diffusion-webui-ux
Vladmandic: https://github.com/vladmandic/automatic

>Run cloud hosted instance
https://rentry.org/sdg-link#run-cloud-hosted-instance

>Try online without registration
txt2img: https://www.mage.space
img2img: https://huggingface.co/spaces/huggingface/diffuse-the-rest
Inpainting: https://huggingface.co/spaces/fffiloni/stable-diffusion-inpainting
pixart: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma

>Models, LoRAs & embeddings
https://civitai.com
https://huggingface.co
https://rentry.org/embeddings

>Animation
https://rentry.org/AnimAnon
https://rentry.org/AnimAnon-AnimDiff
https://rentry.org/AnimAnon-Deforum

>SDXL info & download
https://rentry.org/sdg-link#sdxl

>Index of guides and other tools
https://codeberg.org/tekakutli/neuralnomicon
https://rentry.org/sdg-link
https://rentry.org/rentrysd

>View and submit GPU performance data
https://docs.getgrist.com/3mjouqRSdkBY/sdperformance
https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html

>Share image prompt info
4chan removes prompt info from images, share them with the following guide/site...
https://rentry.org/hdgcb
https://catbox.moe

>Related boards
>>>/h/hdg
>>>/e/edg
>>>/d/ddg
>>>/b/degen
>>>/vt/vtai
>>>/aco/sdg
>>>/trash/sdg

Official: discord.gg/stablediffusion

Android phones give me the ick unironically
>Off-brand hardware
>Janky OS doesnt feel smooth
>Frequent pausing
>Convoluted functionality/settings doing simple things
>Spyware
They look and feel like a worse iphone but without any other advantages. This coming from someone who daily drives linux and doesn't own an iphone. What are the positives of owning an Android phone?

The Chicago font is the greatest font ever concieved by mankind.

What do you think about using Red Hat Enterprise Linux for desktop?
been using Fedora workstation for years. I am pretty happy about it but I feel like the updates are a bit too much for me. I have been considering switching to RHEL. but I know that's mostly suitable for server use not desktop use.
anyone here uses RHEL for desktop? how does it compare to Fedora?

>*kill me*