Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Capture all of your AI product data
Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback.
02
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05
Analyze model performance
Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases.
03
/
05
Impr... See more
Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback.
02
/
05
Analyze model performance
Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases.
03
/
05
Impr... See more
Gantry | Build AI your users trust
First, AI agents are likely to lead to new go-to-market strategies for SaaS companies. With potentially fewer humans in the loop, there is likely to be a further decoupling of seats/users and contract value. To capture value, LLM applications will need a new scaling factor for pricing: variable value-based pricing is a plausible solution.
Moreover,... See more
Moreover,... See more
Chris Rainville • LLM agents: the next platform shift in B2B software
Whenever we are fasting we are putting ourself on the edge of stress and alertness due to increased epinephrine and cortisol. If you are already highly stressed this can have averse effects.
Andrew Huberman • Using Cortisol & Adrenaline to Boost Our Energy & Immune System
- The best LLMs are going to be much better in all the different dimensions you probably care about (including e.g. less hallucinations)
- The best open-sourced LLMs are going to be better than the best non-open source LLMs nowadays. As an example, Facebook AI made a big announcement for their LLaMA open source model a couple of weeks back . A few days
Towards Reinforcement Learning with AI Feedback (RLAIF). What open-sourced foundation models, instruction tuning, and other recent events mean for the future of AI
Coding is a creative pursuit! Creativity thrives under constraints. Adding the “constraint” of a clear problem to solve allows engineers the freedom to explore and create a solution in the way they see fit.
The best engineers I know are product-minded: thinking about solving the problem for humans first and foremost, which leads to the next point.
The best engineers I know are product-minded: thinking about solving the problem for humans first and foremost, which leads to the next point.
Leonardo Creed • 7 simple habits of the top 1% of engineers
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.
Cube is an open source semantic layer which recently integrated with LangChain to solve these issues in a different way. You can use YAML, Javascript, or Python to create definitions of different metrics, measures and dimensions for your data: