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TrueFoundry
Приєднався 26 кві 2022
Cognita: An Open Source RAG Framework
Built through collaboration with multiple enterprises, Cognita is Modular, API-driven, and production-scalable. Cognita's intuitive and modifiable UI lets companies reuse components from one RAG application to another
Built through collaboration with multiple enterprises, Cognita is Modular, API-driven, and production-scalable. Cognita's intuitive and modifiable UI lets companies reuse components from one RAG application to another
TrueFoundry Introduction Video
TrueFoundry is a platform as a service for enterprise AI/ML teams to build, deploy and ship LLM Applications on their own cloud or on-prem infra in a faster, scalable, cost-efficient way with the right governance controls.
TrueFoundry abstracts out the engineering required and offers GenAI accelerators that can enable an organisation to speed up the layout of its overall GenAI framework.
Book Demo - www.truefoundry.com/book-demo
TrueFoundry abstracts out the engineering required and offers GenAI accelerators that can enable an organisation to speed up the layout of its overall GenAI framework.
Book Demo - www.truefoundry.com/book-demo
Переглядів: 252
Відео
TrueFoundry Brief Demo
Переглядів 11028 днів тому
TrueFoundry is a Cloud-native PaaS for enterprise ML/AI teams to build, deploy and ship LLM Applications on their own cloud/on-prem infra in a faster, scalable, cost-efficient way with the right governance controls, allowing them to achieve 90% faster time to value than other teams. Book a demo now - www.truefoundry.com/book-demo.
TrueML Talks #35 | Big Data and ML Practices at Palo Alto Networks
Переглядів 111Місяць тому
In this episode of #TrueMLtalks, Harsh from Palo Alto Networks shares insights into the Machine Learning processes at Palo Alto Networks. The discussion with Harsh covered a wide array of topics, including: ✨ Harsh's background in ML and working at Palo Alto Networks ✨ The types of problems Palo Alto Networks solves ✨ The data pipeline and model training process ✨ Techniques like model versioni...
TrueML Talks #34 | Future of GenAI and WebRTC
Переглядів 1063 місяці тому
Join us for the latest episode of True ML Talks, where Nikunj, CEO of True Foundry, hosts Justin,. The discussion covers: ✅ The evolution and applications of WebRTC ✅ The development and selection process for LLMs ✅ Technical integration of LLMs with WebRTC ✅ Challenges and solutions in achieving low latency and high performance ✅ Future prospects of multimodal AI and its broader implications T...
TrueML Talks #33 | Fleet management using ML at Sennder
Переглядів 993 місяці тому
Join us for the latest episode of True ML Talks, where Nikunj, CEO of True Foundry, hosts Luis, Senior Director of Machine Learning at Sennder. The discussion covers: ✅ Luis's transition from software engineering to spearheading AI initiatives in logistics. ✅ How Sennder uses AI to address inefficiencies in European logistics, focusing on route optimization and load matching. ✅ The structure of...
TrueML Talks #32 | MLOps practices at Outerbounds
Переглядів 1204 місяці тому
In this episode of #TrueMLtalks, Savin from Outerbounds shares insights into the MLOPs use cases in Netflix. Drawing from his experiences initially with LinkedIn and Netflix, Savin delves into how he used her previous experience to start his journey with Outerbounds. The discussion with Savin covered a wide array of topics, including: ✨ Savin's Experience in AI/ML ✨ The emergence of ML engineer...
Case Study: Aviso AI and TrueFoundry Partnership
Переглядів 1035 місяців тому
Discover how Aviso leverages AI to transform sales and marketing strategies through our in-depth discussion with Rajkumar, the head of the data science team. Learn about the cutting-edge technologies and methodologies they employ to enhance conversation intelligence and lead generation, directly impacting revenue growth. This video will provide insights into the critical role of infrastructure ...
TrueML Talks #31 | Applications of GenAI and LLMs at Google
Переглядів 2776 місяців тому
In this episode of #TrueMLtalks, Priya from Google shares insights into the GenAI use cases in devices and services. Drawing from her experiences initially with Groupon, Priya delves into how she used her previous experience to improve the use of AI at Google. The discussion with Priya covered a wide array of topics, including: ✅ Emphasizing women leaders' roles in AI and GenAI fields. ✅ Priya'...
TrueMl Talks #30 | Programmatic data labeling at Snorkel.ai
Переглядів 1076 місяців тому
In this episode of #TrueMLtalks, Vincent from Snorkel AI shares invaluable insights into the evolution of data-centric AI development. Drawing from his experiences transitioning from academic research at Stanford to co-founding Snorkel AI, Vincent delves into how Snorkel AI is pioneering the future of machine learning operations (MLOps), data labeling, and model deployment. The discussion with ...
Helping Games 24x7's ML team serve their model to millions of gamers
Переглядів 906 місяців тому
Discover how Games 24/7, a leading gaming company, partnered with TrueFoundry to streamline model deployment, enhance performance monitoring, and significantly reduce costs. With years of industry experience, Games 24/7 shares insights into their challenges and the transformative solutions provided by Truefoundry. In this testimonial with Deepanshi, Lead Data Scientist at Games 24/7, we discuss...
How Games 24x7 Optimised Model Deployment and Reduced Costs
Переглядів 1167 місяців тому
Discover how Games 24/7, a leading gaming company, partnered with Truefoundry to streamline model deployment, enhance performance monitoring, and significantly reduce costs. With years of industry experience, Games 24/7 shares insights into their challenges and the transformative solutions provided by Truefoundry. In this testimonial, Swapnil Dubey - Engineering Director at Games 24/7, discusse...
TrueML Talks #29 | Solving last mile delivery using GenAI and Computer Vision at Beans.ai
Переглядів 1687 місяців тому
UA-cam: In the latest #TrueMLtalks, Sandeep shares profound insights about his journey with Beans.ai. He discusses how Beans.ai utilizes Computer Vision to solve last-mile deliveries and a wide range of applications across the industry. The following subjects were part of our ongoing discussion with Sandeep, which encompassed: ✅ Brief on Sandeep’s role at Blackrock and Oracle and his entry into...
True ML Talks #28 | Automating SDR Workflow With GenAI at Oneshot.AI
Переглядів 1758 місяців тому
In the latest #TrueMLtalks, Venki shares profound insights about his journey with Oneshot. He discusses how Oneshot utilizes AI to support SDRs and delves into his experiences and learnings working with Large Language Models (LLMs). The following subjects were part of our ongoing discussion with Venki, which encompassed: ✅ Brief on Venki’s role at Salesforce and his entry into entrepreneurship ...
True ML Talks #27 | The GenAI Landscape with LevelAi and their LLMOps strategy
Переглядів 3858 місяців тому
In this TrueML Talks episode, we're privileged to host Abhimanyu Talwar, a visionary leader in the field of AI and ML. 🎙️ Key Insights: ✅ Gain valuable insights into Abhimanyu's journey in managing ML pipelines and developing best practices at Level AI. ✅ Dive deep into the Machine Learning use cases that have powered Level AI's success in the customer success industry. ✅ Uncover the structural...
True ML Talks #26: A CTO's Perspective on GenAI and Data Pipeline Strategies.
Переглядів 1848 місяців тому
In this 26th episode of #TrueMLtalks, Labhesh, who used to be the Chief Technology Officer (CTO) and Chief Scientist at Jumio Corporation, talked about his journey in tech and the number of interesting patents he filed while working at Jumio and even before Jumio. He highlighted his focus on creating and using advanced models, LLMs and SLMs. Labhesh played a key role in building a strong platfo...
#5 Explore LLM Gateway provided by TrueFoundry
Переглядів 2539 місяців тому
#5 Explore LLM Gateway provided by TrueFoundry
#4 Fine-tuning LLMs on your data using TrueFoundry
Переглядів 1289 місяців тому
#4 Fine-tuning LLMs on your data using TrueFoundry
#3 Creating RAG-based applications using TrueFoundry
Переглядів 1729 місяців тому
#3 Creating RAG-based applications using TrueFoundry
#1 Introduction to LLMOps at TrueFoundry
Переглядів 3219 місяців тому
#1 Introduction to LLMOps at TrueFoundry
True ML Talks #25 | Deploying ML and GenAI models at Twilio.
Переглядів 3319 місяців тому
True ML Talks #25 | Deploying ML and GenAI models at Twilio.
True ML Talks #24 |Optimising LLMs and a look into hardware & software toolkits @Intel
Переглядів 15110 місяців тому
True ML Talks #24 |Optimising LLMs and a look into hardware & software toolkits @Intel
True ML Talks #23 |Discover the MLOps and LLMs space at GitLab
Переглядів 13011 місяців тому
True ML Talks #23 |Discover the MLOps and LLMs space at GitLab
Reduce infra costs for ML models / LLMs with TrueFoundry
Переглядів 11011 місяців тому
Reduce infra costs for ML models / LLMs with TrueFoundry
True ML Talks #22 |Deciphering ML and LLMs at Voiceflow
Переглядів 8411 місяців тому
True ML Talks #22 |Deciphering ML and LLMs at Voiceflow
True ML Talks #21 |Exploring Machine Learning Journey at Loblaw Digital
Переглядів 143Рік тому
True ML Talks #21 |Exploring Machine Learning Journey at Loblaw Digital
True ML Talks #20 |Analysing transformer dynamics as a mental model
Переглядів 253Рік тому
True ML Talks #20 |Analysing transformer dynamics as a mental model
True ML Talks #19 |Deep diving into Machine learning Pipeline in the ads team at Pinterest
Переглядів 645Рік тому
True ML Talks #19 |Deep diving into Machine learning Pipeline in the ads team at Pinterest
True ML Talks #18 |Mapping Generative AI and its application to its real world
Переглядів 425Рік тому
True ML Talks #18 |Mapping Generative AI and its application to its real world
True ML Talks #17 |All things Machine Learning and AI at Slack
Переглядів 215Рік тому
True ML Talks #17 |All things Machine Learning and AI at Slack
Great insights
Good stuff. Within all the hype around genAI, the actual experiences on ground is quite invaluable. Loved this!
huge
i was so excited after reading this paper, thanks for having him on the podcast! great talk! I’m currently working on an fleshing out an architecture idea specifically designed to take advantage of the insights from this paper. goal is to start coding & training soon 🤞
Sumeet , in your argument of sampling the next token, makes a sort of random choice in the neighbourhood , which in a black-box view gives illusion of learning .
Illusion of learning comes from the fact that a context sequence (prompt) induces the Transformer to walk on a (predetermined) path that appears like intelligent behaviour to us humans. Randomness is in the choosing of one of the predetermined paths. But if all the low-entropy paths appeared like intelligent behaviour to humans, then no matter what path was randomly picked, it would still appear as if the model was saying something intelligent. If I understand you correctly, you're saying that because the model can produce a variety of paths due to random sampling, it appears intelligent to us, as opposed to a parrot regurgutating from memory. Yes, that would be accurate under this viewpoint.
Sumeet, is the any insight into the size of embedding to which dimension gets most reward of entropy gradient?[ I am assuming embedding dimensions somehow contribute in entropy of a point in embedding]
Some great analogies right there
P r o m o S M
This conversation also sheds light on a fascinating aspect when it comes to the relationship between RL and ChatGPT. A true professor - he possesses an exceptional talent for unraveling the most intricate concepts by effortlessly connecting them to relatable everyday life examples.
Very true! Would love to see part 2 of this video where professor dives deeper into some LLM/GPT use-cases traditional companies are actually implementing.
Anan got an accent 😁
Anan cool guy bro