1st, I agree no going back & exciting times re tools like Copilot in #AI assisted coding (& more). Means we must teach people to READ code. Reading someone else's code takes more skill than writing your own, a.k.a., the tapper-listener experiment: bit.ly/3Z65MDf #SkillUp bottomblaster (@botblastcap) Absolutely. Code reviewing > code writing nowadays. — https://nitter.net/botblastcap/status/1698913774655443120#m
CODE
-
LLaMA2 70B Training Accelerated 195% with Best Practices
By
–
70 billion parameter LLaMA2 model training accelerated by 195% with best foundation model practice upgraded | https://
bit.ly/45Ff4sG
#AI #ML #ArtificialIntelligence #MachineLearning #DeepNeuralNetwork #LLMs -
Connecting Spreadsheets to Large Language Models
By
–
More great work from @ddematheu
, this time exploring how to connect spreadsheets to LLMs! -
Airbyte Integration with LangChain for Tabular Data
By
–
One important thing about the @AirbyteHQ integration we just added is that a lot of their loaders are meant for tabular data Luckily, @langchain has a lot of tools for working with tabular data! Thanks to @pelaseyed for identifying this and writing it up
-
Autonomous HR Chatbot: Agents Query Tabular Data
By
–
We've done a bunch of theoretical work on enabling agents to ask questions of tabular data – excited to share a project that is applying it Autonomous HR Chatbot by @Stepanogil Check out the code
-
Build a Video-to-Slide Converter with OpenCV and Python
By
–
🎥New Videohttps://t.co/AdOF7MaSJk
— Satya Mallick (@LearnOpenCV) 4 septembre 2023
Check out our latest video, where we teach you how to build a video-to-slide converter using OpenCV and Python.#computervision #ai #deeplearning #python #opencv #learnopencv pic.twitter.com/W5AvtOTsVlNew https://
youtube.com/watch?v=tzyNRR
9bJV8
… Check out our latest video, where we teach you how to build a video-to-slide converter using OpenCV and Python. #computervision #ai #deeplearning #python #opencv #learnopencv -
Rethinking Open Source Definition for AI Language Models
By
–
"We keep using the term 'open source' in the context of large language models like Llama 2, but it’s not clear what we mean", or, rather, what "open source" means in world of floating point numbers as "code" https://
infoworld.com/article/370609
1/rethinking-open-source-for-ai.html
… by @mjasay for @InfoWorld with @Mashah08 -
Build Powerful AI Agents in 2 Hours with LLMOps Platform
By
–
Build Powerful AI Agents in 2 hours using our LLMOps Platform. Sep 5, 9:00 am PST Free for everyone to attend. • Custom data transformers
• Vector stores
• Integrate with any LLM
• Chain data, code, and LLMs
• Deploy and monitoring Register here: -
Five Python Packages For Geospatial Data Analysis
By
–
5 Python Packages For Geospatial Data Analysis: This article discusses the importance of geospatial analysis and introduces five essential Python packages for effectively handling and visualizing valuable insights from geospatial data. https://
kdnuggets.com/2023/08/5-pyth
on-packages-geospatial-data-analysis.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=5-python-packages-for-geospatial-data-analysis
… -
ChatGPT Plugin Analyzes GitHub Repositories with AskTheCode
By
–
#ChatGPT for GitHub! 🤯
— Charly Wargnier (@DataChaz) 3 septembre 2023
With the new #AskTheCode plugin, you can crawl and analyze GitHub repos and answer any questions you have about your codebase! 🔥
Whether you're starting a new project or working on an old favorite, this ChatGPT plugin's got you covered!
Link below ↓ pic.twitter.com/ycugXk7Azt#ChatGPT for GitHub! With the new #AskTheCode plugin, you can crawl and analyze GitHub repos and answer any questions you have about your codebase! Whether you're starting a new project or working on an old favorite, this ChatGPT plugin's got you covered! Link below ↓