#other#agent#llm#rag
Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research.
https://github.com/datawhalechina/happy-llm
⚡️swap.coffee: Impressive April 2025 Metrics
#swap#metrics
Swap.coffee shared its growth metrics for April 2025, showing a transaction volume of nearly $18 million, 37,129 transactions, and 5,934 unique users. The team expresses gratitude for the ongoing support from their community.
Source: link
@tonlines
#go#logging#metrics#opentelemetry#tracing
OpenTelemetry-Go is a tool for Go applications that helps you track how your software performs by collecting data like traces and metrics, then sending this information to monitoring platforms so you can see what’s happening inside your app in real time[2][3][4]. It works on many operating systems and Go versions, and you can use it by adding a few lines of code to your app and setting up an exporter. This makes it much easier to find and fix problems, understand how your app is running, and keep everything reliable and fast[2][3][4].
https://github.com/open-telemetry/opentelemetry-go
Raycaster Secures $500K Round
Raycaster has closed a funding round of $500,000 on December 4, 2024. The company specializes in providing unique insights for revenue teams, focusing on lab specs and API performance to accelerate high-value deal closures.
#Raycaster#Funding#Revenue#Insights#API#Metrics
AI Predictions: From Vacuums to Real Impact
AI-powered prediction platforms are gaining traction, with a focus on forecasting reactions based on content and audience. Initial predictions using tools like ChatGPT yield 17% accuracy, but considering audience interactions can boost accuracy to 83%. This innovative approach helped a startup refine its pitch to enter Y Combinator. Discover more insights on enhancing prediction accuracy in various fields here.
#AI#Startup#Prediction#YCombinator#Marketing#Innovation#Tech#Growth#Entrepreneurship#Forecasting#AudienceAnalysis#DataScience#MachineLearning#Success#Business#Trends#Platforms#Metrics#Investment#VC