- Видео 221
- Просмотров 22 757
HatchWorks AI
США
Добавлен 20 фев 2017
Welcome to HatchWorks - Your AI development partner.
We build AI-native solutions and use AI to build software better, faster, smarter.
As the pioneers of Generative-Driven Development™, a next-generation software development system, we leverage the latest AI technologies to accelerate delivery and maximize value.
By combining our deep AI expertise with the affordability and scalability of the world's most talented Nearshore AI and engineering teams, we deliver unmatched value to our clients.
We build AI-native solutions and use AI to build software better, faster, smarter.
As the pioneers of Generative-Driven Development™, a next-generation software development system, we leverage the latest AI technologies to accelerate delivery and maximize value.
By combining our deep AI expertise with the affordability and scalability of the world's most talented Nearshore AI and engineering teams, we deliver unmatched value to our clients.
AI-Powered Rubber Ducky Debugging Explained
In this episode of the Talking AI podcast, we explore the evolution of "Rubber Ducky Debugging" into the world of AI.
Omar Shanti introduces the idea of an AI-powered companion that could revolutionize how developers approach problem-solving.
No longer just a tool, what if the rubber ducky could talk back?
Discover how generative AI models are transforming coding and project management by providing real-time feedback and multimodal input, pushing the boundaries of developer creativity and efficiency.
🔴 Subscribe for more content on RUclips: ruclips.net/channel/UCNGKC_jMZAv-5dRD9EgTtFw
#ArtificialIntelligence #AI #TalkingAI #Podcast
More from Talking AI ⬇️
Matt Paige: www.linkedin.com/in/mattpaig...
Omar Shanti introduces the idea of an AI-powered companion that could revolutionize how developers approach problem-solving.
No longer just a tool, what if the rubber ducky could talk back?
Discover how generative AI models are transforming coding and project management by providing real-time feedback and multimodal input, pushing the boundaries of developer creativity and efficiency.
🔴 Subscribe for more content on RUclips: ruclips.net/channel/UCNGKC_jMZAv-5dRD9EgTtFw
#ArtificialIntelligence #AI #TalkingAI #Podcast
More from Talking AI ⬇️
Matt Paige: www.linkedin.com/in/mattpaig...
Просмотров: 23
Видео
How AI is Evolving from Assistant to Co Worker
Просмотров 3516 часов назад
Could AI evolve from its position as a handy assistant to a fully-fledged teammate in the workplace? Patrick Lynch, PhD, AI Faculty Lead at Hult International Business School, and Omar Shanti, CTO of HatchWorks, join host Matt Paige to explore the AI industrial revolution we’re seeing and how human-AI collaboration could drastically affect the way teams collaborate. Patrick takes us through the...
How AI is Evolving from Assistant to Co-Worker
Просмотров 6616 часов назад
Could AI evolve from its position as a handy assistant to a fully-fledged teammate in the workplace? Patrick Lynch, PhD, AI Faculty Lead at Hult International Business School, and Omar Shanti, CTO of HatchWorks, join host Matt Paige to explore the AI industrial revolution we’re seeing and how human-AI collaboration could drastically affect the way teams collaborate. Patrick takes us through the...
Innovation at Scale: The Role of AI
Просмотров 3821 день назад
Change is often met with resistance, but Neil Goodrich, Chief Innovation Officer at Envista Forensics, challenges us to rethink our approach to innovation in this episode of Talking AI. Together with host Matt Paige, Neil explores where new AI tools can help to lead innovation and how small incremental changes can drive larger transformative projects. We look at how AI can boost efficiency at d...
Innovation at Scale: The Role of AI
Просмотров 2721 день назад
Change is often met with resistance, but Neil Goodrich, Chief Innovation Officer at Envista Forensics, challenges us to rethink our approach to innovation in this episode of Talking AI. Together with host Matt Paige, Neil explores where new AI tools can help to lead innovation and how small incremental changes can drive larger transformative projects. We look at how AI can boost efficiency at d...
Turn Data Into Your Differentiator with RAG as a Service
Просмотров 25521 день назад
Turn your data into a competitive advantage with RAG as a Service from HatchWorks AI. Our Retrieval Augmented Generation (RAG) solution uses AI to provide precise, context-rich insights tailored to your business. Get real-time answers from your data to boost productivity, enhance decision-making, and keep control of your proprietary information. Ready to transform your business with AI? Learn h...
The 4 Stages of ML Explained
Просмотров 2421 день назад
In this episode of Talking AI, we break down the machine learning lifecycle into four core stages: data, training, deployment, and evaluation. Simba Khadder walks us through the essentials of each step and explains how these stages are critical for both traditional machine learning and large language models like GPT. Takeaways: - The 4 key stages every ML project must go through. - How real-wor...
MLOps Strategy: ROI Comes First
Просмотров 80Месяц назад
In this episode, we explore the crucial role MLOps plays in driving real business ROI, not just developing models. Simba Khadder shares key insights on why focusing on ROI can make or break machine learning projects. Learn how aligning your ML efforts with high-impact business goals ensures long-term success and buy-in from stakeholders. Takeaways: - The importance of driving measurable ROI fro...
Generative AI Is Not an Island: ML’s Core Principles
Просмотров 51Месяц назад
Generative AI may feel like the new kid on the block, but it's not as different from traditional machine learning as you might think. In this episode of Talking AI, we’re joined by Simba Khadder, Co-Founder & CEO of Featureform, and Omar Shanti, CTO of Hatchworks AI, to discuss how generative AI builds upon established ML principles and infrastructure. We explore the misconception that it exist...
Generative AI is Not an Island: ML’s Core Principles
Просмотров 110Месяц назад
In this episode of Talking AI, Matt Paige is joined by Simba Khadder, CEO of Feature Form, and Omar Shanti, CTO of HatchWorks AI. They discuss how traditional machine learning principles apply to generative AI and the role of large language models. The conversation covers practical insights on production challenges, team dynamics, and the future of retrieval-augmented generation (RAG). Tune in ...
Can AI Hallucinations Boost Creativity in Learning?
Просмотров 7Месяц назад
In this segment of Talking AI, Matt Lewis explains why AI hallucinations, often considered a flaw, can actually be a productive feature in educational settings. You'll discover how hallucinations in generative AI can help students think critically and explore diverse outcomes, but why it's crucial to avoid them when communicating precise data, such as in clinical studies. 🔴 Subscribe for more c...
Orchestration in AI: When & Why You Need It
Просмотров 25Месяц назад
In this episode of Talking AI, Omar Shanti, CTO at HatchWorks AI, shares insights into orchestration's growing importance in AI development. Learn how orchestration tools can help scale AI systems while ensuring fault tolerance, efficiency, and scalability. Tune in to find out how to best scale your AI projects with the right orchestration approach. Subscribe for more in-depth tech discussions!...
Unlock Self Serve Analytics with Generative MDM
Просмотров 99Месяц назад
Unlock Self Serve Analytics with Generative MDM
The AI Mirror: Matching Innovation to Your Unique Needs
Просмотров 21Месяц назад
The AI Mirror: Matching Innovation to Your Unique Needs
AI in Life Sciences: Balancing Risk and Innovation
Просмотров 34Месяц назад
AI in Life Sciences: Balancing Risk and Innovation
AI in Life Sciences: Balancing Risk and Innovation
Просмотров 89Месяц назад
AI in Life Sciences: Balancing Risk and Innovation
LangChain: Does Over-Abstraction Hinder AI?
Просмотров 544Месяц назад
LangChain: Does Over-Abstraction Hinder AI?
How Abstractions Simplify AI Interaction
Просмотров 21Месяц назад
How Abstractions Simplify AI Interaction
The Secret to Accurate AI Content: Fact-Checking Agents
Просмотров 17Месяц назад
The Secret to Accurate AI Content: Fact-Checking Agents
BONUS : How LangChain’s Abstractions Help-and Hinder-AI Innovation
Просмотров 55Месяц назад
BONUS : How LangChain’s Abstractions Help-and Hinder-AI Innovation
BONUS : How LangChain’s Abstractions Help-and Hinder-AI Innovation
Просмотров 101Месяц назад
BONUS : How LangChain’s Abstractions Help-and Hinder-AI Innovation
AI Evolution in Product Strategy-Same Mission, New Tools
Просмотров 82 месяца назад
AI Evolution in Product Strategy-Same Mission, New Tools
AI agents are scaling up in 2024-are we ready?
Просмотров 432 месяца назад
AI agents are scaling up in 2024-are we ready?
great convo
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Personal expert systems are an interesting area to explore. What if you created five versions of you for a working group, but set different moods or mind sets? If you are a pack rat and have every hard drive you have ever used since the '90s, that is an enormous amount of data to train these virtual me's on.
the system should at least have a plugin or tool layer or block
this was great!
Thanks
@@amirbehbehani4844 :)
Guy looks like older Messi 😂
poor sound quality
I've been providing tools for RPG Gamers and I came upon the idea of training a SLM to hold information on HOW to use my products... But I don't really understand how this can be done. Ideally, I'd like to have a Discord Bot be able to answer any queries abouts my products, with something like !ask <question>. Behind this Discord bot, an AI / SLM could examine the query and return a response.... That would be awesome! But... HOW the heck do I go about building such?!? I am totally lost LOL
ChatGPT uses a recent type of AI technology that requires huge amounts of computer storage and computer processing power. The hardware system on Microsoft Azure where ChatGPT runs is a very large and complex system of computers and thousands of NVidia GPU processors put together specifically for the needs of ChatGPT. The older AI of the 1950's used computers to try to mimic human intelligence in a very different rule based way. ChatGPT is a brute force mesh capturing pieces of human knowledge in a way that can be matched to prompts to generate answers.
hey david, nice presentation. whats your github for sample codes shown here.
Just asked David and he doesn't have the sample code available on a Git yet
@@hatchworksai please share the github repo.. . thank you
Please share a code, in that case you will more video popular and get more credits on git
Hello! I'm currently was contacted by your company through Upwork. Do you actually searching for freelancers spanish natives oe it's just scam?
Thank you for bringing this to our attention. We at HatchWorks are committed to maintaining the highest standards of integrity and transparency in our recruitment processes. Please be aware that legitimate HatchWorks job opportunities are posted exclusively through official channels. We encourage you to verify any HatchWorks-related job postings on our official website to ensure their authenticity. HatchWorks does not request payment at any stage of the recruitment process. Should you come across any job postings or communications that seem dubious or request payment, please refer to our Recruitment Fraud Disclaimer page at hatchworks.com/recruitment-fraud-disclaimer/ for guidance and to report the incident. We appreciate your vigilance and interest in HatchWorks. Together, we can combat recruitment fraud.
The best part of the video was the graph you almost didnt want him to talk about: ruclips.net/video/sQZLMjaXxoE/видео.html i do this now. i use mistral/mixtra/llama to generate domain specific data to train a domain specific child model. You have to know how to build models and how to code to do this effectively, but the results are pretty awesome!
Bro which microphone use in live podcast
Logitech Blue Yeti
this is a really interesting presentation. But it is so difficult to follow because there is no GitHub or log or any kind of document to go along. I thought I might follow with the code shown on the screen, but there is too much jumping back and forth. Thanks for the effort.
Fucking scammers.. Pay me what you owe me
Fucking scammers PAY ME WHAT YOU OWE ME
These guys are scammers.. They refuse to pay me for a job I did for them and want me to pay to receive my payments.. Fuck hatchworks and everyone involved in this scam
In the eyes of a developer, it feels like a another set of 10 extra hands coding together with you, they might not give you perfectly accurate or even scalable code at the beginning, but it'll definitely do the heavy lifting for you in a way that you can totally expand your productivity rate as well as having more time to focus on making the whole context feeding process more efficient.
You just summed up life💥
These guys are scammers.. I did work for them and now that it's time to pay me, they're telling me if to pay them first
I don't think any sane person plans for the end of a conversation.
Might wanna change your company name. People might get confused with the real hatchworks LOL