Hi all, my name is Anko Top, and I currently work as lead of a platform & data team at Enza Zaden (https://www.enzazaden.com) a seed breeding company. Both from a data and ML perspective seed breeding is a challenging subject due to the large amounts of genetic, phenotypic, and environmental data and the complex relationships that exist between them. Fun fact: the genome of an onion is 5 times larger than that of a human.

Hello. My name is Arun Bordoloi and I have had a long career in Digital Transformation. Most recently, I created and built the first global TV Data Product Management and Advanced Analytics team at Samsung. I've taken some time off, but most recently have restarted the search for my next career opportunity - in helping build the next generation, human-centered intelligent data systems and services. I'm based in SF, but I love to travel in CA, in the US and internationally - ie everywhere. I'm excited to join this community and learn from and exchange ideas with this Intelligent Data community. You can find me at https://www.linkedin.com/in/arunbordoloi/.

Hello! 👋 I'm Jason Morrison from San Francisco CA. (Website, LinkedIn) I'm currently consulting for startups who are building applications on top of LLMs. Before this, I spent 9 years as a software engineer -> VPE at Minerva University where we built a new university from scratch with campuses in 7 global cities and a bunch of fun tech, including an in-house live video classroom software. I still love education & edtech! For R2AI, I'm particularly interested in evals: techniques and tools for measuring performance of LLM-based apps to help teams build apps with high task performance, low undesirable behavior, and acceptable cost and latency. I'd love any recommendations folks have on: • Papers for evals (like G-Eval and the others listed in Eugene Yan's LLM Patterns article) • Tools for evals: open-source, hosted, or a mix: WhyLabs (of course 🙂), Ragas, Magik, TruLens, Langfuse, etc • Resources that describe general evals (fast! cheap! isn't sexist!) or task-specific evals ("the conversational agent matches performs tone mirroring" or "the AI teacher employs the science of learning") that you've found helpful (particularly in the education space, but also very interested in what these look like across industries/use-cases) In addition to efficacy-related evals, I'd also love to learn about emerging policy guidelines, e.g. the draft EU AI Act, the NYC AI-in-hiring law, the US administration's voluntary commitments. P.S. If anyone's going to https://www.ai.engineer/summit or https://aiconference.com, I'll be there - happy to connect!

Hi everyone. My name is Minh Duong. I am based in San Jose, CA. My background was Industrial Engineering but I am now enrolling in a Data Science certificate program to become a Data Scientist. I am more than halfway through my program and I become interested in NLP and LLMs. I am completely new to this field so I hope I can learn more from you guys.

Hi Everyone. My name is Valter Heger. I am a software developer by occupation. I studied math and physics at McGill University. Lately, I became very interested in computational neuroscience, especially motivated by Numenta. Not sure about the time horizon, but I believe Jeff Hawkins that the path to AI is mimic the only model we have of intelligence, is the neocortex. I have been following Machine Learning, mostly watching presentations on Coursera and YouTube. I have a webpage at http://wheger.tripod.com and https://github.com/heger-valter . Some of my favorite reading material is https://www.cis.upenn.edu/~jean/math-deep.pdf https://arxiv.org/abs/2106.10165 The big draw about this is that there is so much overlap between what I studied and the subject matter which has generated a lot of interest in the general community. I have a couple of ideas which I am trying to develop. I want to build a portfolio of public projects that I can use to demonstrate my knowledge and expertise. If someone is interested, we can develop a project which would complement our skills. My goal is to use something in my background towards solving a new problem. i run a meetup on the first Thursday of the month at 7pm (CST) at https://www.meetup.com/memphis-technology-user-groups/events/296092098/

Hello! My name is Inigo and I'm a Data Scientist at RoZetta Technology (Sydney, Australia) and a NLP researcher at the University of Technology Sydney (UTS). I am very interested in learning more about production ML pipelines and everything related (MLOps, data profiling and quality checks, model monitoring...)

Hello All, I am Shweta Chauhan and currently working as a Sr. SW engineer in motion planning and controls team in ADAS for Lucid motors. I have been interested in LLMs and CV. Hoping to get to know you all and learn from you guys.

Hello everyone, I am Elham. I am an applied scientist and software engineer focusing on ML, Autonomous Driving and CV. I recently moved from Germany to USA. I am currently based in Redmond, WA. I am interested in LLM and multimodal DL. Excited to be here and learn from you all.

Hello Everyone, I am Vatsal Raicha. I have 19 years experience in the Mainframe domain. 4 years managing an AI Project. Now I am transitioning to become a hands-on Data Scientist. Pursuing MS in Data Science at University of Arizona. Excited to be here and learn from everyone.

Hello. This is Junaid From Poland. I am PhD student working on the Science related misinformation at Telegram.

Hi All, my name is Saba and I’m excited to be here. I live in California and my educational background is in Software Engineering. I started learning Artificial Intelligence and Machine learning about 2 years ago. Then I became interested in NLP and Large language models. Now, I’m taking some courses to learn and do small projects related to Retrieval Augmented Generation (RAG), LLM Ops and ML Ops. Thanks for having me here @astonishing-advantage-94636 :)

Hi, I'm Alec, and I'm looking forward to this book and these discussions. I live in Canada (Kingston, which is where Queen's University is and somewhat between Montreal and Toronto), and I was in the NLP space quite a bit, my career took me to business analytics for a bit, and I'm getting back into NLP and MLE work. I've only been away from it for a couple of years, but wow, things change in a blink. It'll be a fascinating transition, and I'm looking forward to getting more into Hugging Face.

Hi guys, my name is Anna and I am one of the co-founders of the SF AI Conference. I am working with a group of local organizers on hosting the SF AI Conference in Jan 19-20th, 2024. This AI conference will be uniquely dedicated towards cultivating open and discussions surrounding the social impacts of AI. We are looking for speakers and sponsors at this time.If anyone is interested, please reach out to me anna@sanfranciscoai.ai You can learn more about SF AI Conference: https://sanfranciscoai.ai

Hi guys, my name is Tom and I'm an investment analyst at Sprint Ventures, an Australian pre-seed to series A VC fund. I'd love to chat about anything interesting you're working on or thinking about - particularly those that involve quality compliance and auditability for LLMs. If you'd be down for a chat, send me a message!

Welcome @faint-ability-68541!

Hi, I'm Arushi Garg from The AI Studio, where we focus on Generative AI across industries. I'm interested in how you use AI daily. Feel free to share your experiences with me.

Welcome Arushi!

Hi all, I'm Jennifer, the founder of Big Little Insights (www.biglittleinsights.com). I offer coaching, conflict resolution, and other services to companies that develop, use, or want to use AI.

HI there, not an introduction but nonetheless wanted to share these recent articles we published on Turing Post. I really like them and think you might do as well these holidays: Priorities and Predictions for 2024 from such people as Yoshua Bengio, Sara Hooker (Cohere), Rajiv Shah (HF), Max Hjelm (CoreWeave), Mike Del Balso (Tecton), couple of VCs, Responsible AI specialists, and others https://www.turingpost.com/p/fod33 And a list of books loved by the Turing Post Team and endorsed by leading AI&ML experts. Really good list if you want to spend some time reading this holidays: https://www.turingpost.com/p/books2023 Let me know what you think 😉

Hey everyone - - Greg from NJ and the founder of Loop (loophq.com), the unified inbox. Think of Loop as personalized big data where you manage all your digital streams in a single prioritized and organized feed. We are live and super excited for 2024 when we go big into AI enhancements

Hi everyone! My name is Moses and I run a tiny venture design studio in San Francisco. Glad to be here! We've just released BrainstormBot.ai which will run on top of the Slack substrate. Please check it out, there's a free trial. App store listing: https://ai-researchers.slack.com/apps/A05BH0GUA9Z-brainstormbot Anyway, I'm here looking for interesting contacts and partnerships. For example, I'm looking for guest lecturers for my upcoming "mastermind" workshop on GenAI tools: https://futurelabconsulting.com/index.php/insights/mastermind To get acquainted, DM is best! Cheers! 🙏☯️ (edited)

Hello Everyone! Let's me introduce! 👋 Name: Jesse 📍 Location: US 💼 What You Do: LLM Developer 🔥 Why I'm Here: Learning

Hi, I am Castro, and I look forward to learning a lot from this group. I’m a developer at ldtalentwork.com — a project born out of Stanford University. It’s a tool that helps you find diverse vetted developers and helps you manage them in an efficient and transparent way. Free Trial: It gives you ~5 free hours to try them before hiring them for contract or full-time roles. To see how incredibly unique LD is, check out this video: . Mission: To strengthen remote teams by helping them drop location constraints and include qualified but overlooked talent from the majority world: diversity meets capitalism. Here is our one pager: https://bit.ly/3ShMLJZ. We are always looking for brutally honest feedback 🙂

Hi Everyone Praveen here from India. joined here to learn more about langkit and whylogs focusing on Quality of LLMs

Hello Everyone, pleasure to be here. Looking to learn more about LLMs

Hey! Am an ML engineer living in Chicago and I work at a series A start up. I work with LLMs everyday and am excited to join this community.

Hello Everyone, Praveen Hosdrug here . Looking forward to focussing on Quality on LLMs

Hey folk, am a software engineering undergrad student @UW, currently I’m doing intern at Gikko cooperation focus on leveraging LangKit metrics and whylab to secure and monitor LLm applications.

Hi, let's go together...🤝

Hi @channel! I’m Snnow Rasbach and I’m the founder and CEO of UpUnikSelf Inc. Our goal is to build a comprehensive platform that connects users with the best software solutions for their specific needs. All startups and developers looking for a new sales channel are invited to join our waitlist – https://www.upunikself.xyz/ I’m happy to connect and be part of this incredible community! Best, Snnow