🦾Jepson Taylor

VEOX

VEOX Inc is revolutionizing the AI industry by creating an AI-driven algorithm factory, compressing decades of progress into moments. Our technology automates AI science research, continuously improving algorithm efficiency and outperforming human-made algorithms. VEOX is not just building another AI company; we're catalyzing an explosion of technological advancements that will reshape the entire tech landscape. Join us in accelerating intelligence beyond human limits and leading the next wave of AI breakthroughs.

CEO/founder VEOX

Artificial Intelligence Masterclass, NYU - Intellibus

FYI, I’ll be co-leading an AI Master Class for about 20 senior leaders at NYU’s School of Professional Studies in September and October!  We have a fantastic team of expert AI panelists too, and I’d love to have you join the program. If you’re keen then drop me a note and I’ll make sure a spot is saved for you.  Also, feel free to send this link onto others who will benefit from joining. This course will be the #1 AI course in the US for senior leaders and will change the way you think about AI and how we tackle its opportunities and threats. A big part of this course is the close collaboration between industry and academia. More info here: https://www.aimasterclass.com/

Contributing Faculty

AtomicSoul.ai

I love being the host for the Atomic Soul Podcast where I explore the very things driving humanity forward. This isn’t your average “AI is taking over our civilization” show - it’s something much more rare that’s sure to make you reevaluate your perspective on controversial topics. Each week we’ll hear from the world’s most interesting people, like corporate giant execs and people bending the mold. It’s at this very intersection of tech and the brain where we expand our consciousness.

Podcast Host

Dataiku

I will provide straightforward industry perspectives and insights, thought leadership on the future of AI, and share the stories and best practices of Dataiku’s growing enterprise customers. I will help accelerate the company’s strong recent momentum, including: 
Over 500 customers with 150+ on the Forbes Global 2000 list
95% customer retention rate with Forbes Global 2000 customers 
Industry recognition includes being named to the Forbes Cloud 100 and Forbes AI 50 lists, top 10 in the Data50, and Snowflake’s ML/AI partner of the year.  
Certification as a Great Place to Work, with 94% of Dataikers saying the company is a great place to work (compared to 57% of employees in a typical U.S.-based company)

You can’t have fun if the fundamentals aren’t working and I was impressed with Dataiku’s growth, enterprise customer count, customer satisfaction, and one collaborative platform. 

I want to work for a market leader and believe that Dataiku is indeed the leader that industry analysts and 500+ customers say they are and I want to invest my life force into this company. 

I am very excited about the next year, and my excitement has only continued to increase since joining. This company has the soul I was seeking.

Read more about my WHY here https://blog.dataiku.com/ben-taylor

Chief AI Strategist

DataRobot

As Chief AI Strategist at DataRobot, I work closely with our innovation team, marketing, sales, and product to ensure innovation is aligned with our product roadmap/strategy. I also help nurture strategic partnerships for the innovation team, can we combine like-minded visionaries to accelerate the future? Can we inspire the next generation by combining world-class innovation with brilliant storytelling? I love working with brilliant technologists and amplifying them with genius creatives. Magic happens between these two types of experts. Some of that work was showcased with our 10,000 cast piece which ended up being nominated for a Webby award. Very excited about what we have in the pipeline this year.

Artificial intelligence is already changing our world for the better. Unfortunately, too many homegrown projects are failing giving the rest of the industry a bad rap. Too many executives are naive to the opportunity. The gap of "do-ability" isn't being crossed in the mind of the business executive. AI should inspire, it should transform, everyone should wake up in the morning excited about what AI could do to automate their business and lift our society to new innovative heights.

Chief AI Evangelist

Zeff

co-founder, Chief AI Officer

Working crazy hours to deliver the world's best machine and deep learning to product companies with the least amount of effort. Our goal was to be easiest to use, but surprisingly we are winning on scalability, accuracy, and implementation time. If you need any machine learning in 2017/2018 reach out to see if you are a fit for our current offering. Great press to come.

co-founder & Chief Data Officer

HireVue

Building out HireVue's data science team with the talent needed to execute on our technical data roadmap. We currently have one of the best deep learning teams in the state and by next year it could be one of the top 10 deep learning teams in the country. I love the work we are doing, the opportunity we have, and the success we are seeing. Working with brilliant people is critical to job satisfaction and we have that at HireVue.

Chief Data Scientist

Is it possible to take something as unstructured and complicated as a digital interview and predict the quality of the candidate response? The answer is yes! Imagine what you can do with 100,000x more data than a resume. Leading HireVue's data science team to success on algorithm development for the HireVue insights IRIS product, a new data frontier for sure.

Principal Data Scientist

Metaheuristic Solutions LLC

Metaheuristic Solutions is a optimization consulting company with the world's leading metaheuristic optimization algorithm, the x algorithm. The new algorithm was developed by Ben Taylor and was made available in 2011.

Founder/CTO

IM Flash Technologies

Using Matlab, R, and Julia to develop multivariate and single variate models and analysis (MVA/UVA) for tool fault detection. These models are then used to shut down tools used in the semiconductor manufacturing process, notify stake holders, and mark up lots for real-time detection analysis (RDA). Projects also include building complex yield models from tool data and automating alarm rule setup as well as fab wide tool fingerprinting to identify rogue behavior even if alarms are not present.

I am also very busy on the web app side building PHP/Mysql wrappers to give engineers access to big data solutions. Hoping to switch soon to python/django/postgres. Also using custom built SQL queuing system that I designed on the backend to manage user loading for job requests.

Senior Data Scientist, Fault Detection

launchup.org

observer

I build stuff that doesn’t exist, an AI explorer. 
Unfortunately I have too many connections so please follow me instead. 

人工智能 (Chinese)
人工知能 (Japanese)
कृत्रिम बुद्धिमत्ता (hindi)
الذكاء الاصطناعي (Standard Arabic)
কৃত্রিম বুদ্ধিমত্তা (Bengali)
искусственный интеллект (Russian)

I watch the watchers, I direct the learners. 

I am passionate about machine learning. My life's mission is to further the boundaries of what is possible with data science. I spend as much time as I can working with deep learning, NLP, and all forms of data science. I currently have a passion project I am managing where I am combining the power of genetic programming with deep learning to automate network design. I think there is a trend happening in data science where human expertise and creativity are being replaced by powerful new methods (i.e. deep learning, big data). 

I am most well known for my machine learning work with the data science community and with HireVue. With the community, I enjoy posting opinions on jobs and tutorials on ML methods. I also enjoy speaking and presenting to all types of audiences. 

I've enjoyed working across engineering, product, sales, marketing, and customer success. This wider POV has helped shape the way I think about innovation, from the innovation farm to the customer's table ;)

Lip biting… let’s discuss on LinkedIn 

This is a photo of me… 24yrs ago doing an authentic lip bite hanging out with my girlfriend (now wife). 

The lip bite is interesting… it has a lot of emotion in it. There is “choas hesitancy” in it? It is awkward when you see it. I’m not settled. 

My hope is all of my kids will find someone who makes them bite their lip awkwardly. I think no expression captures love more than this... staring at a 5th class rapid and saying I'm all in on this, and diving head first. 

Will AI ever bite it’s own lip, if so… what would that mean? One of those random human posts, love that my life parter still makes me bite my lip today 24yrs later.

CEO/founder VEOX Inc | Fasted Ultra Runner | Contributing Faculty AIMasterClass NYU | Keynote Speaker | former child

No alternative text description for this image

Well this is might be a little awkward but I'll ask anyway, I like awkward. If you are a DataRobot or Dataiku customer and you are thinking about not renewing next year I would really like to understand why [confidentially]. In return I'll offer you an in-person dinner and a longer conversation about AI and strategy. I'll also share some of my 'off the menu' Jepson stories. Having longer conversations lately with various CDAOs on the future of ML platform companies and whether or not their moats are evaporating or... are they keeping pace. Please send me a PM and we can jump on a quick zoom and schedule an in-person dinner (assuming you are in the US, outside of the US will have to be aligned with other travel). 

Also qualifies: other ML platforms not mentioned H2O.ai etc...

(network: likes/comments/trolling on this post appreciated for reach)

I already wasn't a big fan of Forester Public Relations, but when they were paid to defend nonfounding executives selling $32M of stock... 

"Executive stock sales ($32M) don't necessarily indicate problems." -Forester

How can you trust them on anything else they say after that? 

“Whoever is careless with the truth in small matters cannot be trusted with important matters.”
— Albert Einstein

WTF… this parking lot should be full? Too cold?

So in the future... some of you may choose to have a neural link implanted in your mind, a second observer. It will consume your life experience and give you real-time advice. What to say, what to do, reminders, knowledge retrieval. Feels like science fiction but in... 20-30 years I would say of course this will be available. A secret super power. 

Now for the fun part, if it is always right, if the times you don't follow it you make mistakes (less money, hurt relationships, etc..) then... would you consider allowing it to take over and override your internal decisions. Cruise control through life to maximize the outcomes you want. Have the hard conversations, do the hard workouts, make the best decisions for future you. 

The concepts shines a lot of what it means to be human... to remove all mistakes, to reach perfection... removes you. Would you cruise control your life if you knew it would say all the right things and do all the right things for you? Sometimes I feel like my daily optimal decisions are <20% (like working out, etc..)

Staying ahead in AI is tough, nearly impossible for most executives. We're launching our 5th cohort this fall at NYU November 20-22. A few spots remain for leaders wanting to level up.

Join me and Aditya (Ed) Watal for 2.5 intensive days unpacking everything we've implemented with our teams. This is the only executive AI course I know that dives into these exact topics at this level of depth. 

Group discounts are also available, bring your leadership teams (message for details around group discount rates.) 

Find out more here: https://lnkd.in/gcZhh_P7
Or reach out to me directly with course questions.

AIMasterClassNYU

So this is how the dyson sphere gets started... building data centers in space. Unlimited power + incredible cooling. Awesome to see this starting with Starcloud, very curious how compact they can go on the compute/storage... is natural convection enough or do they need active cooling in space?

Voxel51

• Explore, tinker with, and push the boundaries of the latest AI and machine learning technologies to showcase what's possible with open-source tools and frameworks

• Build inspiring prototypes, proof-of-concepts, and example applications that demonstrate creative and impactful uses of AI to the developer community

• Contribute meaningfully to the open source ecosystem by creating and maintaining libraries, tools, datasets, tutorials and guides that enable developers to more easily leverage AI capabilities

• Curate, clean, annotate and publish unique multimodal datasets spanning text, images, audio, video, 3D and other emerging data types to facilitate novel machine learning research and applications

• Create engaging technical blog posts, social media content, videos, and presentations that educate and inspire developers and data scientists to build with AI

•  Collaborate openly with our internal teams and the broader AI/ML community to cross-pollinate ideas, share knowledge, and collectively advance the state-of-the-art

• Evangelize our technology and vision by representing the company at hackathons, conferences, meetups, universities, and other developer-focused events

•  Influence the product roadmap by providing input on the developer experience, uncovering opportunities for new features and improvements based on community feedback and your work

• Continuously learn, experiment with, and provide feedback on beta versions of our latest models and capabilities to help shape the future of our platform

Hacker-in-Residence

LinkedIn

1) Introductory computer vision course for LinkedIn Learning

2) Prompt Engineering with LangChain (releasing March 2024)

3) RetrievalAugemnted Generation with LlamaIndex (releasing Q2 2024)

4) Fine-tuning LLMs with Hugging Face TRL (est release Q3 2024)

5) Text Generation with Hugging Face Transformers (est release Q3 2024)

LinkedIn Learning Instructor

The Artists of Data Science

The ONLY personal growth and development podcast for Data Scientists

Host

Deci AI

Developer Relations Manager

Pachyderm Inc.

Senior Developer Advocate

Comet

ML Developer Advocate

Data Science Dream Job

Principal Data Science Educator

Price Industries

Lead Data Scientist

Bold Commerce

Senior Data Scientist

Emergent BioSolutions

Biostatistician

I create content about deep learning | The DevRel and Deep Learning Dude

Hacking on LLMs, curating multimodal datasets, and writing a book about RAG.

Harpreet Sahota 🥑

i'm gonna be at Open Data Science Conference (ODSC) AI West on Oct 29 in SF doing a workshop on visual ai and understanding your dataset using VLMs, embeddings

we're using vehicle damage detection as the example - working with the CarDD dataset to detect dents, scratches, cracks, all that stuff. 

basically showing how to actually build and evaluate these systems with fiftyone.

if you wanna learn how to properly work with visual AI models, come through:

 https://lnkd.in/g2NZvEsX

🤖 Hacker-in-Residence @ Voxel51| 👨🏽‍💻 AI/ML Engineer | 👷🏽‍♀️ Technical Developer Advocate | Learn. Do. Write. Teach. Repeat.

alright so NVIDIA asked me to let you know about their new AI certifications and they're actually worth looking at if you're trying to level up

what's happening: there's a webinar on Oct 7 at 9am PT about how to prep for these certs. 

they're covering their associate and professional level exams including the new agentic AI one which actually looks pretty solid. 

it covers multi-agent systems, distributed reasoning, all the stuff you'd actually need to know.

I know certs can be hit or miss, but these ones focus on practical skills beyond just theory. 

they cover generative ai, multimodal systems, and the new professional ones go deep into LLM training, fine-tuning, and building agentic systems.

if you're already building this stuff, it's validation.  if you're trying to break in, it's a structured way to learn what matters.

the deal:

• use code "HarpreetS20" for 20% off any certification exam

• i've got 3 free self-paced training codes to give away. first three people to like, repost, and comment "jensen please bless me with vram" get them

learn more:

• webinar link: https://nvda.ws/42LQxCD 

• cert info: https://nvda.ws/42aOJmz

this may, or may not, help me get another gpu...though i certainly hope it does

Open article: Certification Programs by nvda.ws

when you've got 10k+ images, manually checking them isn't gonna work.

how do you actually know what's in your dataset? 

which samples are duplicates? 

which ones are actually useful? 

are there quality issues you're missing?

embeddings basically give you x-ray vision for visual data - you can see patterns, search semantically, and actually clean your dataset properly.

wrote about this for Open Data Science Conference (ODSC) - showing how to use @Voxel51 FiftyOne Brain's embedding methods to:

- visualize hidden patterns and find similar images

- detect duplicates and identify unique samples

- catch data leaks before they mess up your eval

once you start using embeddings like this, your dataset stops being a black box.

full post: https://lnkd.in/dxh6r-Um

also if you're at ODSC AI West on Oct 29, i'm doing a session on "Mastering Visual AI with Vision-Language Models and Advanced Evaluation Techniques" where i will go deeper into this stuff.

Why does everyone act like OCR is a new capability of VLMs? anyways, nanonets integrated into fiftyone.

i just integrated 6 visual document retrieval models into fiftyone as remote zoo models

these are all available as remote source zoo models now. here's what they do:

• nomic-embed-multimodal (3b and 7b) https://lnkd.in/gZ3QGmPb

qwen2.5-vl base, outputs 3584-dim single vectors. currently the best single-vector model on vidore-v2. no ocr needed.

good for: single-vector retrieval when you want top performance

• bimodernvbert
https://lnkd.in/g_5DURCN

250m params, 768-dim single vectors. runs fast on cpu - about 7x faster than comparable models.

good for: when you need speed and don't have a gpu

• colmodernvbert
https://lnkd.in/gPM6KS6B

same 250m base as above but with colbert-style multi-vectors. matches models 10x its size on vidore benchmarks.

good for: fine-grained document matching with maxsim scoring

• jina-embeddings-v4
https://lnkd.in/g_q4tbYV

3.8b params, supports 30+ languages. has task-specific lora adapters for retrieval, text-matching, and code. does both single-vector (2048-dim) and multi-vector modes.

good for: multilingual document retrieval across different tasks

• colqwen2-5-v0-2
https://lnkd.in/g6aaRbWs

qwen2.5-vl-3b with multi-vectors. preserves aspect ratios, dynamic resolution up to 768 patches. token pooling keeps ~97.8% accuracy.

good for: document layouts where aspect ratio matters

• colpali-v1-3
https://lnkd.in/g8rZ4awD

paligemma-3b base, multi-vector late interaction. the original model that showed visual doc retrieval could beat ocr pipelines.

good for: baseline multi-vector retrieval, well-tested

register the repos as remote zoo sources, load the models, compute embeddings. works with all fiftyone brain methods.

taplio

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taplio

The Battle

🦾Jepson Taylor

Harpreet Sahota 🥑

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}🦾Jepson Taylor's LinkedIn Performance

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