machine_core's profile picture. We build AI to analyze your Customer Feedback and give you actionable insights.  https://discord.gg/pYY2mzpR

MachineCore

@machine_core

We build AI to analyze your Customer Feedback and give you actionable insights. https://discord.gg/pYY2mzpR

MachineCore reposteó

The famed Stanford Smallville is officially open-source! 25 AI agents inhabit a digital Westworld, unaware that they are living in a simulation. They go to work, gossip, organize socials, make new friends, and even fall in love. Each has unique personality and backstory.…

DrJimFan's tweet image. The famed Stanford Smallville is officially open-source!

25 AI agents inhabit a digital Westworld, unaware that they are living in a simulation. They go to work, gossip, organize socials, make new friends, and even fall in love. Each has unique personality and backstory.…

MachineCore reposteó

First Cybertruck built at Giga Texas! 🤠

Tesla's tweet image. First Cybertruck built at Giga Texas! 🤠

MachineCore reposteó

Adding Memory is important to help Chains and Agents remember previous interactions. Below are a few memory types you can use for your @LangChainAI apps. 1) ConversationBufferMemory: Keeps a list of the interactions and can extract the messages in a variable.


MachineCore reposteó

I was in Austin the entire time I worked on Copilot. The team was fully remote. SF AI is a vibe, not a requirement.


MachineCore reposteó

The `camelot` package is an awesome module for extracting tables from PDFs 🔥 Most existing PDF parsers don't explicitly demarcate structured information; camelot can directly extract dataframes. Check it out! (esp if you're building LLM-enabled QA): github.com/camelot-dev/ca…

jerryjliu0's tweet image. The `camelot` package is an awesome module for extracting tables from PDFs 🔥

Most existing PDF parsers don't explicitly demarcate structured information; camelot can directly extract dataframes.

Check it out! (esp if you're building LLM-enabled QA): github.com/camelot-dev/ca…
jerryjliu0's tweet image. The `camelot` package is an awesome module for extracting tables from PDFs 🔥

Most existing PDF parsers don't explicitly demarcate structured information; camelot can directly extract dataframes.

Check it out! (esp if you're building LLM-enabled QA): github.com/camelot-dev/ca…

MachineCore reposteó

A Survey on Multimodal Large Language Models Large multimodals are likely going to be one of the next big things in AI research. This is a great survey on multimodal large language models(MLLM). Talks about topics like multimodal instruction tuning, multimodal in-context…

Jeande_d's tweet image. A Survey on Multimodal Large Language Models

Large multimodals are likely going to be one of the next big things in AI research.

This is a great survey on multimodal large language models(MLLM). Talks about topics like multimodal instruction tuning, multimodal in-context…

MachineCore v1.0 artificial intelligence solution can easily detect missed opportunities and customer experience problems from unstructured text data. #AI


MachineCore reposteó

"The benefits of forecasting include cutting costs of stock keeping, reducing waste, decreasing out-of-stock and achieving higher service levels." Read more from Gosia Komor's post. buff.ly/3Qf1nK8


MachineCore reposteó

Catch up on this week’s AI news: - Researchers found that some crowd workers use AI for text-related tasks - Why Meta has yet to launch a flagship generative AI service - The unusual plan to educate U.S. legislators on AI Learn more in #TheBatch: hubs.la/Q01WqN920

deeplearning.ai

Meta’s Generative Strategy, Robots Invade Mechanical Turk, and more

The Batch - AI News & Insights: Suddenly it seems like everyone wants to regulate AI. The European Union is on the verge of enacting a comprehensive...


MachineCore reposteó

We are releasing a whole-brain connectome of the fruit fly, including ~130k annotated neurons and tens of millions of typed synapses! Explore the connectome: codex.flywire.ai Reconstruction paper: biorxiv.org/content/10.110… Annotation paper: biorxiv.org/content/10.110… 1/6


Amazing…

We are releasing a whole-brain connectome of the fruit fly, including ~130k annotated neurons and tens of millions of typed synapses! Explore the connectome: codex.flywire.ai Reconstruction paper: biorxiv.org/content/10.110… Annotation paper: biorxiv.org/content/10.110… 1/6



MachineCore v1.0, built in 2019, enabled retail companies to quickly find actionable insights from text-based customer feedback and survey data.


United States Tendencias

Loading...

Something went wrong.


Something went wrong.