In collaboration with the https://t.co/p3W5uvEQ7h, https://t.co/E9Gh2zEfpR recently conducted a study to uncover the key challenges and practices shaping the future of AI pipelines.
- 24.5% of respondents struggle with communication breakdowns across different teams.
#data
ChatGPT now helps you backtest Simple Trading Strategies.
No more wasting 100's of hours building code from scratch for bad ideas.
Here’s how to do it for free, in less than 10-minutes:
What’s the deal with Ollama?
It allows you to run open source LLMs LOCALLY.
Benefits:
- Cost: No inferencing costs
- Data Privacy: You can run queries on your private data
Here’s how you can build a local RAG pipeline with DSPy, Mistral via @Ollama & @weaviate_io.
LLM Agents Are Superhuman At Fact Checking
-LLM breaks down long texts into sets of individual facts
-Checks each fact w/ multi-step reasoning processes
-Using Google & determining whether fact is supported by the search results
-20x cheaper than humans
https://t.co/ZXE0aBU2gv
https://t.co/VSwvtGDNCi and @ConversionLogix form a potent duo, leveraging deep knowledge in the Apartment and Senior Living sectors, enhanced by modern AI tools, to simplify and amplify marketing effectiveness.
https://t.co/ilVJ7iHgwF
#multifamily#marketingagency#martech#ai #genAi
ggplot2 3.5.0: Legend guides with streamlined styling via theme(), smarter legend key assignment for discrete variables, customizable guide placements around plots, experimental stretching keys and more like guide_custom(). #ggplot2#dataviz#Rstats https://t.co/PXAXzzIHk2
How important it the positional embedding method when training LLMs? Is this something you extensively explore when trying to create new architectures?
We have RoPE, ALiBi, Rotary..., etc. but for GPT-2/3 a random embedding layer did the trick. And there was the No positional encoding (NoPE) paper this year
It's been a journey and we're just getting started.
🎉 Flyte has reached 4k Github stars today.
Support open source #AI orchestration by starring ⭐️ the repo:
https://t.co/3eTgTNFdm0
Thank you to the amazing community of Flyte users and contributors! 🙏
From data ingestion, to model training, to deployment, each task in an #AI pipeline demands unique resources.
With Union Cloud, configuring task level resources is as simple as adding a task decorator to set limits and requests for #CPU, #GPU, memory, & ephemeral storage!
This paper also adds to research that shows that online political discussions are hostile because the people who like to engage in political talk online are more likely to be hostile people who are status-hungry & like to offend.
You just didn’t see it until we were all online.
🚀 Time to level up your skills with a deep dive into #Flyte plugins!
Don't miss this informative #FlyteSchool session as @PingSu7 covers:
- Intro to Backend Extensions
- Intro to Flytekit Extensions
- How to test and deploy your plugins
- Case studies
https://t.co/I7mqxeStcv