Predict payment delays, ticket severity, churn and more with high accuracy and minimal setup.
Try it now:
* Playground: rpt.cloud.sap
* Get open source: huggingface.co/SAP/sap-rpt-...
* Read the paper: arxiv.org/abs/2506.10707
Predict payment delays, ticket severity, churn and more with high accuracy and minimal setup.
Try it now:
* Playground: rpt.cloud.sap
* Get open source: huggingface.co/SAP/sap-rpt-...
* Read the paper: arxiv.org/abs/2506.10707
Look no further: jobs.sap.com/job/Walldorf...
Look no further: jobs.sap.com/job/Walldorf...
We are thrilled to announce the Common Pile v0.1, an 8TB dataset of openly licensed and public domain text. We train 7B models for 1T and 2T tokens and match the performance similar models like LLaMA 1 & 2
We are thrilled to announce the Common Pile v0.1, an 8TB dataset of openly licensed and public domain text. We train 7B models for 1T and 2T tokens and match the performance similar models like LLaMA 1 & 2
That was quite popular and here is a synthesis of the responses:
That was quite popular and here is a synthesis of the responses:
Also worth noting that Bluesky remains a very fraught place for AI discussions for a variety of reasons, good & bad, but with the impact of keeping a lot of the most relevant AI news, paper discussions & biggest names on X
That might change, but it hasn’t yet. Still posting, tho.
Also worth noting that Bluesky remains a very fraught place for AI discussions for a variety of reasons, good & bad, but with the impact of keeping a lot of the most relevant AI news, paper discussions & biggest names on X
That might change, but it hasn’t yet. Still posting, tho.
Happy reading!
Happy reading!
Here: thomwolf.io/blog/scienti...
It's an extension of this interview discussion from the AI summit: youtu.be/AxBd3G0lFLs?...
Here: thomwolf.io/blog/scienti...
It's an extension of this interview discussion from the AI summit: youtu.be/AxBd3G0lFLs?...
❌LLM-as-a-judge with greedy decoding
😎Using the distribution of the judge’s labels
We analyze design decisions for leveraging judgment distributions from LLM-as-a-judge: 🧵
(w/ Michael J.Q. Zhang, @eunsol.bsky.social)
❌LLM-as-a-judge with greedy decoding
😎Using the distribution of the judge’s labels
💥 Main logic in ~1000 LoC
🧑💻 Agent writes its actions in code! LLMs are much better at writing code than current standard of writing JSON => higher perf
🌍 Any LLM support (h/t LiteLLM)
🛡️ Secure code exec (h/t E2B)
💥 Main logic in ~1000 LoC
🧑💻 Agent writes its actions in code! LLMs are much better at writing code than current standard of writing JSON => higher perf
🌍 Any LLM support (h/t LiteLLM)
🛡️ Secure code exec (h/t E2B)
📜 PORTAL, an open weight and code foundation model trained on tabular data, and
📜 SALT, a real business data set containing millions of sales orders across multiple tables.
Further details 👇
📜 PORTAL, an open weight and code foundation model trained on tabular data, and
📜 SALT, a real business data set containing millions of sales orders across multiple tables.
Further details 👇
Join us Saturday 14 Dec from 8:30AM for an amazing program and discussions about all things neural models + tabular data (table-representation-learning.github.io ).
Not in Vancouver? Join online neurips.cc 😎
Join us Saturday 14 Dec from 8:30AM for an amazing program and discussions about all things neural models + tabular data (table-representation-learning.github.io ).
Not in Vancouver? Join online neurips.cc 😎
Let's take GenAI to the next level with #KG!
Let's take GenAI to the next level with #KG!
🔥 Introducing BALROG: a Benchmark for Agentic LLM and VLM Reasoning On Games!
BALROG is a challenging benchmark for LLM agentic capabilities, designed to stay relevant for years to come.
1/🧵
🔥 Introducing BALROG: a Benchmark for Agentic LLM and VLM Reasoning On Games!
BALROG is a challenging benchmark for LLM agentic capabilities, designed to stay relevant for years to come.
1/🧵
theodi.org/news-and-eve...
theodi.org/news-and-eve...
If you want to work on groundbreaking research on the richest business data available, please reach out to me or apply here: jobs.sap.com/job/Berlin-P...
AI@HPI Conference: Responsible AI
December 3-4 in Potsdam (Berlin metropolitan area)
Discussing AI with regard to bias, elections/society, trustworthiness, copyright, the EU AI Act, and best practices.
Registration:
hpi.de/en/ai-hpi-co...
Please spread the word!
AI@HPI Conference: Responsible AI
December 3-4 in Potsdam (Berlin metropolitan area)
Discussing AI with regard to bias, elections/society, trustworthiness, copyright, the EU AI Act, and best practices.
Registration:
hpi.de/en/ai-hpi-co...
Please spread the word!