Nicolay Gerold
@nicolaygerold
Nicolay Gerold
AutoGen's design offers multiple advantages: a) it gracefully navigates the strong but imperfect generation and reasoning abilities of these LLMs; b) it leverages human understanding and intelligence, while providing valuable automation through conversations between agents; c) it simplifies and unifies the implementation of complex LLM workflows as... See more
r/singularity - Reddit
Chaining LLM Agents instead of LLM calls. Seems like a pretty heavy prompt engineering effort.
They are pushing for agents that are specialized in a certain tasks through RAG / finetuning, where CAMEL and other frameworks failed.
One interesting area for exploration might be finetuning LLMs for collaboration before finetuning them for tasks.
The hypothalamus releases the releasing hormone of growth hormones. It is also involved in temperature regulation, which explains the large effect of temperature on growth hormone levels. Heat and therefore sauna can increase the level of growth hormone release. Under high heat, blood vessels dilate, the heart stroke rate increases. Sauna for... See more
Andrew Huberman • How to Control Your Metabolism by Thyroid & Growth Hormone
First time here? Go to our setup guide
Features
Features
- 🤖 Multiple model integrations: OpenAI, transformers, llama.cpp, exllama2, mamba
- 🖍️ Simple and powerful prompting primitives based on the Jinja templating engine
- 🚄 Multiple choices, type constraints and dynamic stopping
- ⚡ Fast regex-structured generation
- 🔥 Fast JSON generation following a JSON schema
outlines-dev • GitHub - outlines-dev/outlines: Neuro Symbolic Text Generation
### Hypertrophy5-30 reps best to failure, 72 hours break, 3-5 sets, 3 min break. How: metabolic stress (do you have a pump post workout), mechanical tension (do you feel the muscle working under tension), muscular damage (muscle ache). 1 of three is enough. You optimally want a 5/10 on all, 7/10 if you focus on one particular aspect. High reps max... See more
Andrew Huberman • Dr. Andy Galpin: How to Build Strength, Muscle Size & Endurance
Start with an ambitious, high-potential idea, but challenging and full of ambiguities — the rough shape of a nascent great idea. It typically isn’t new, but solves many problems in a simpler, more intuitive way. It ignites people’s curiosity and self-motivation. At the end, it should seem “obvious” so that others want to copy, because there aren’t... See more
Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.
There is no AI Strategy without a Data Strategy
Training AI models requires data. Whether you’re training existing models, developing models from scratch, or simply testing theories, high-quality data is crucial.
Incumbents have the data because they have the customers. They can immediately leverage customers’ data to train models and tune... See more
Training AI models requires data. Whether you’re training existing models, developing models from scratch, or simply testing theories, high-quality data is crucial.
Incumbents have the data because they have the customers. They can immediately leverage customers’ data to train models and tune... See more
Jason Cohen • AI startups require new strategies: This time it's actually different
I would differentiate between data for existing behaviors vs new behaviors. The world and our tools are constantly changing. I think AI is one of those drivers. I think the startups who can either facilitate new behaviors the best (e.g. Cursor for AI-assisted coding) or who can create entirely new behaviors have a great way to generate unique training data.
Taking existing data and making it workable with AI is a lot of work and takes skilled labor (AI + domain expertise). I wouldn’t say incumbents have the complete edge. They have the edge in certain applications and behaviors under the assumptions these behaviors are not changing to render their applications useless.
koboldcpp
🤗 Transformers
Huggingface is an open source platform and community for deep learning models for language, vision, audio and multimodal. They develop and maintain the transformers library, which simplifies the process of downloading and training state of the art deep learning models.
This is the best library if you have a background in... See more
🤗 Transformers
Huggingface is an open source platform and community for deep learning models for language, vision, audio and multimodal. They develop and maintain the transformers library, which simplifies the process of downloading and training state of the art deep learning models.
This is the best library if you have a background in... See more
Moyi • 10 Ways To Run LLMs Locally And Which One Works Best For You
We can detect factually inconsistent summaries via the natural language inference (NLI) task. The NLI task works like this: Given a premise sentence and a hypothesis sentence, the goal is to predict if the hypothesis is entailed by, neutral, or contradicts the premise.
