Nicolay Gerold
@nicolaygerold
Nicolay Gerold
Part of building a generative AI and real-time intelligence in our product is being able to react in real time . A lot of companies will say they have real time, I would call it next-day action versus next best action. Next-day action is you're taking action based on intelligence, that's been processed the night before because you're having to... See more
Alexandre Dewez • 📖 Venture Chronicles - September 2023
Clerk is more than a "sign-in box." Integrate complete user management UIs and APIs, purpose-built for React, Next.js, and the Modern Web
Clerk | Authentication and User Management
1. Introduction of DeepSeek Coder
DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code... See more
DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code... See more
deepseek-ai • GitHub - deepseek-ai/DeepSeek-Coder: DeepSeek Coder: Let the Code Write Itself
A great strategy is not just a plan or wishful thinking—it's a roadmap to winning, and it holds these characteristics:
Simple: Simplifies complexity, making it manageable and actionable
Candid: Confronts difficult realities
Decisive: Asserts clear decisions and accepts their consequences
Leveraged: Leverages strengths to create durable competitive... See more
Simple: Simplifies complexity, making it manageable and actionable
Candid: Confronts difficult realities
Decisive: Asserts clear decisions and accepts their consequences
Leveraged: Leverages strengths to create durable competitive... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Things we readily use
There are a few types of k8s resources we use without hesitation. I’m only listing resources here that we create explicitly; most of these resources implicitly create other resources (like Pods) that I will not mention but which we of course (indirectly) use.
There are a few types of k8s resources we use without hesitation. I’m only listing resources here that we create explicitly; most of these resources implicitly create other resources (like Pods) that I will not mention but which we of course (indirectly) use.
- Deployments : Most of our pods are created through deployments.
The hater’s guide to Kubernetes
- Increasing perversion of certain business models that are liable to be gamed or constrained by AI : We’re shifting from a world where data analysis required long cycles (analysts need lots of time to run queries, analyze, and then present findings in a way that people understand) to a new world of real-time optimization and insights (AI will mine
Scott Belsky • Strange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data
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
Fasted and low-carb states lend themselves to alertness. Carb-rich states lend themselves to calmness and sleepiness.
Andrew Huberman • Optimize Your Learning & Creativity with Science-based Tools
Large Language Model State Machine (llmstatemachine)
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
Introduction
llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.
- Chat History as Memory : Leverages large context window models, making chat history the primary source of agent memory.
- Custom Python Functions with JSON Generation : Allows the