MongoDB Atlas LangChain We have some exciting announcements in tandem with our friends at @MongoDB
! We're launching: Support for semantic caching powered by Atlas Vector Search in Python Practical examples: advanced RAG, a fullstack JS app (s/o
TOOLS
-
MongoDB Atlas LangChain Launch Semantic Caching Vector Search
By
–
-
HyperWrite Superior Alternative to ChatGPT for Writing Tasks
By
–
If you're still using ChatGPT for writing, you're making a huge mistake.@HyperWriteAI is a massive step up:
— Matt Shumer (@mattshumer_) 20 mars 2024
– writes like a human, not a robot
– real-time information included, instantly
– templates for any writing task you can imagine
Make the switch. pic.twitter.com/oBaAnjho0gIf you're still using ChatGPT for writing, you're making a huge mistake. @HyperWriteAI is a massive step up: – writes like a human, not a robot – real-time information included, instantly – templates for any writing task you can imagine Make the switch.
→ View original post on X — @hyperwriteai, 2024-03-20 21:59 UTC
-
Building Flabby Bird Game in Python Without Assets
By
–
I asked to make Flabby bird in python with no assets necessary
-
Upcoming enhancements for GPT builder tooling
By
–
GPT builder tooling may get more enhancements soon, including ways to save its state and refer to specific blocks of instructions
-
New AI Inference Microservices for Multi-Platform Model Deployment
By
–
Announced at #GTC24, new inference microservices that transform the way you deploy #AI models across diverse platforms including cloud, data center, and workstation.
-
Is RAG Dead With Million Token Context Windows?
By
–
LangChain x @TimescaleDB Webinar: Is RAG Really Dead?! With the advent of LLMs with context windows of 1 million tokens (like Google Gemini), many have declared the utility of Retrieval Augmented Generation dead and no longer necessary. But is this actually true? Or simply
-
Automated Reporting with Alteryx Boosts Decision Making
By
–
Elevate your reporting game with Alteryx. Discover how automated reporting can save you time and boost decision-making: https://
ow.ly/CvA650QWKZg #AutomatedReporting #AnalyticsForAll -
Direct API usage over LLM frameworks for faster development
By
–
The reason I can work so fast is simple: I use no LLM frameworks, just hit the APIs directly for what I need. Frameworks are a time-suck. That, and I use Claude as an engineering assistant. While I’m working on writing a prompt or integrating some code, I’ll simultaneously have
-
Building AI Tools Efficiently: Prompt Engineering Best Practices
By
–
I actually spend way less time on things like this than you might think! The whole claude-prompt-engineer buildout took less than 30 minutes last night. Did it while cooking dinner. After building with AI for a while, it becomes second nature 🙂
-
AI Video Tool Adds Sound Effects and Lip Sync Features
By
–
We are working on that! You will be able to use sound effects and lip sync in one video soon 🙂