Stability AI, the creators of the AI picture generator Stable Diffusion, have released their first language model – StableLM – to the public. To know more about this open-source large language model, tap here: https://
bit.ly/41Xf04Y @jeevprabnivash @_DigitalIndia @nasscom
LLMS
-
Stability AI Releases StableLM Open-Source Language Model
By
–
-
Duolingo Leverages AI and GPT-4 for Educational Innovation
By
–
The Amazing Ways Duolingo Is Using AI And Integrating GPT-4 https://
x.com/i/broadcasts/1
eaKbrOkjOdKX
… -
AutoGPT: Open-Source Platform Demonstrates GPT-4 Autonomous Capabilities
By
–
AutoGPT is an open-source platform that demonstrates the power of the GPT-4 language model. It operates autonomously, sets its own prompts, and can handle more complex tasks than other LLM-powered apps. Learn more about AutoGPT here: https://
rb.gy/d8dtd #ChatGPT #INDIAai -
Few Shot Learning: Machine Learning with Minimal Examples
By
–
few shot learning (je me fais des notes)
-
Natbot: Defining Custom Languages with Task-Specific Opcodes for AI
By
–
Often the trick is to define your own simple language with task-specific opcodes — check out natbot for inspiration: https://
github.com/nat/natbot -
Cerebras-GPT 111M Model Surpasses 175k Downloads Milestone
By
–
The Cerebras-GPT 111M parameter model has been downloaded over 175k times since our announcement! This is exciting! Check out our models here – https://
hubs.li/Q01MVFjH0 Join our Discord here – https://
hubs.li/Q01MVD_Y0 -
Intégrer GPT-3.5 et ElevenLabs pour des PNJ réalistes
By
–
Hook up GPT-3.5 and Elevenlabs APIs for you NPCs:
— AI Breakfast (@AiBreakfast) 27 avril 2023
Now every wandering character in a game is capable of having a 115 IQ, and sounds like an actual person when they speak.https://t.co/FtMgDm90xxHook up GPT-3.5 and Elevenlabs APIs for you NPCs: Now every wandering character in a game is capable of having a 115 IQ, and sounds like an actual person when they speak.
-
Fast-Trained AI Model Achieves Strong Benchmarks, 7B Model Incoming
By
–
The important piece of info to remember here is that we trained this model in under 10 days. The training was even called internally “YOLO RUN”. We’re excited about these benchmarks but can do even better. We've already started work to train a 7B model.
-
Replit Fine-Tuned Model Outperforms Codex with Better Efficiency
By
–
Both models also benchmark impressively well against commercial models. replit-finetuned-v1-3b is by far the smallest model on the table and it outperformed Codex and LLaMA. PaLM-Coder is 200x larger and we’re closing in on their performance with much better latency.