Marek Rogala retweeted
Another huge release on the long-context LLMs front:
Introducing Giraffe 70B, an open-source LLM fine-tuned from base Llama 2 with context length extended to 32K.
The @abacusai team conducted an evaluation of the model assessing performance over long contexts.
The 70B model improves significantly at the longest context windows (32k) for the document QA task vs. the 13B model, scoring 61% accuracy vs. the 18% accuracy of 13B on the AltQA dataset.
I got excited with the earlier release of Giraffe because of the potential of these long context models to unlock unique applications.
Even more exciting to see that the 70B Giraffe model shows the best performance of all the open-source models in key categories like extraction, coding, and math.
Note that there is still a gap in performance to the best closed source models like GPT-4 but it's coming closer.
I also wonder how these models could help with key capabilities like information extraction, large-form doc analysis, and reasoning. There is a lot to explore with these long-context models. Don't sleep on these. Great work by the Abacus team.
Blog: blog.abacus.ai/blog/2023/09/…
Model: huggingface.co/abacusai/Gira…
Marek Rogala retweeted
This is huge! @jcheng announced Shinylive for R at #positconf2023 🔥
Now you can:
1. Convert Shiny to static HTML/CSS/JS/wasm
2. Write Shiny apps directly in a browser
3. Embed Shiny as Quarto code chunks in other webapps
#rshiny #rstats #positconf
Marek Rogala retweeted
💡Here is a list of really cool Shiny apps for Pharma and Biotech:
go.appsilon.com/pharma-apps
We've recently launched these two:
FDA-Pilot-App: go.appsilon.com/fda-clinical…
Drug Interactions App: go.appsilon.com/f
📩Contact us to collaborate on 🤖Machine Learning🤖 projects!
Marek Rogala retweeted
Who says @posit_pbc Connect is just for #RStats 📊 and #Python 🐍?
Our team has paved the way for #Rust 🦀 #Actix APIs.
Learn more: appsilon.com/deploy-rust-api…
🚀 #TechInnovation
Marek Rogala retweeted
🚀 Guess what? 🚀
{shiny.emptystate} has just landed on CRAN! 🎊
Meet a new member of #Rhinoverse and learn how to easily manage situations when there is nothing (yet) to show in your #RShiny application.
Check the documentation to learn more: appsilon.github.io/shiny.emp…
#RStats
Marek Rogala retweeted
Optimizing #RShiny applications with webR is a game-changer 🤯 By leveraging browser-based computation, we witness a significant reduction in server load and enhanced responsiveness.
Dive deeper into the technical insights: appsilon.com/bringing-webr-i…
#webR #RStats
Marek Rogala retweeted
🧬 We've successfully adapted the R Submissions Pilot 2 Shiny App submitted to the FDA to our latest framework - #Rhino
📊 Our open-source app (FDA pilot app) provides a groundbreaking example of an R/Shiny app that can be submitted to the FDA.
📖 appsilon.com/fda-clinical-tr…
#FDA
Marek Rogala retweeted
Looking for tools to move your #RShiny application to the next level?
Check out the #Rhinoverse - a family of #RStats packages built around {rhino}: rhinoverse.dev/
Marek Rogala retweeted
Stop reading the text !!! Have a graphic dialogue with OpenAI’s #GPT4 with #Graphologue. It turns GPT4-generated text into interactive node-link diagrams in real-time. New Human-Computer Interaction #HCI research makes #AI easier to use. More at creativity.ucsd.edu/ai
Marek Rogala retweeted
What if AI agents could write their own tools/plugins?
Introducing 🧰 Toolkit: the easiest way to create & discover AI Plugins for 🦜📎LangChain and ChatGPT toolkit.club
Just describe a plugin in natural language, and get working LangChain Code. ChatGPT coming soon!
Marek Rogala retweeted
What is In-Context Learning (ICL)?
It is a mysterious emergent behaviour in LLMs where a downstream task is well performed just by conditioning on input-output examples, without optimising any parameters. 👇
#machinelearning #deeplearning #prompting
Marek Rogala retweeted
Open-source ML is at it again!
Introducing ColossalChat - an open-source solution for cloning ChatGPT with a complete RLHF pipeline.
Here is what you need to know:
Marek Rogala retweeted
Looking for a UI component library for #RShiny?
In #Rhinoverse you can find three packages full of beautiful UI elements 🎉
{shiny.semantic} - appsilon.github.io/shiny.sem…
{shiny.fluent} - appsilon.github.io/shiny.flu…
{shiny.blueprint} - appsilon.github.io/shiny.blu…
#RStats
Marek Rogala retweeted
This is wild. Here we have a GPT-3-class model that you can fine-tune on a single high-end gaming GPU in ~5 hours, & run inferences on consumer hardware.
If you're wondering why @OpenAI wants AI regulation, here you go. A regulatory moat can substitute for a tech moat.
alpaca-lora: Code for reproducing the Stanford Alpaca InstructLLaMA result on consumer hardware
github: github.com/tloen/alpaca-lora
Marek Rogala retweeted
I'm getting excited for #ShinyConf2023!
Join 1000s of fellow #RShiny devs for a Shiny extravaganza. 3 days talks, tips, case studies, & enterprise solutions.
Organized by @Appsilon, All virtial, W-F Mar 15-17.
The show starts at 9am ET
shinyconf.appsilon.com/
Marek Rogala retweeted
In celebration of the #ShinyConf2023 by @appsilon starting today, here's how far #rshiny has come in the past 11 years!
anatomyofcode.com/infographi…
Marek Rogala retweeted
We've learned a lot from the ChatGPT research preview and have been making important updates based on user feedback. ChatGPT will be coming to our API and Microsoft's Azure OpenAI Service soon.
Sign up for updates here: share.hsforms.com/1u4goaXwDR…
Marek Rogala retweeted
PSA: If you're an R user and rely on MRAN for reproducibility, you should know MRAN is getting shutdown. You might want to start migrating to the @posit_pbc package manager which also allows you to use packages as of a specific date like MRAN
packagemanager.rstudio.com/c…































