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Varun Mohan, CEO of Codeium, discusses the challenges of building generative AI applications and the development of Codeium, a product designed for software developers. They also talk about the importance of focusing on coding in software development and future-proofing work in the AI space.

Explore transformative role of AI in EdTech, challenges in AI integration, strategies for building differentiated business model. Discuss experiments with AI in education, challenges of personalized learning, Brainly and Duolingo's AI personalization. Managing expectations and leveraging unique data in AI education. Approach to creating features for AI system in education, importance of understanding learners and curriculum. AI in education: initial skepticism, growing acceptance, problems in current education system, optimism about using AI to improve learning opportunities.

Tecton, MLOps experts with over 35 years of combined experience, discuss challenges in deploying ML models, evaluating ROI, bridging the gap between batch and streaming systems, maintaining consistency in processing, monitoring feature quality, building recommendation systems, and quantifying ML project value.

Omar Khattab, PhD Candidate at Stanford, discusses DSPy, a programming model that optimizes language model pipelines. Topics include the drawbacks of prompt-based approaches, fine-tuning modules, retrieval-based NLP systems, BERT in pipelines, and the concept of fine tuning in language models.

Guests include Martian, building a model router for LLMs, Corti using AI to improve healthcare, and Transforms pioneering in synthetic entertainment using AI. Topics discussed include dynamic routing of prompts, improving patient care, transforming media, simplifying LLM usage, incumbents in the LLM space, and advice in the field of machine learning.

"MLOps Podcast #193" features Pierre Salvy, Head of Engineering at Cambrium. He discusses using AI to design proteins, creating a vegan collagen for cosmetics, lab-grown meats, molecular cheese, and less harmful plastics. They also touch on the cost of experiments, ski experiences, and the challenges of transitioning to a managerial role.

Panel discussion on product engineering for language models and the challenges of asynchronous communication. Topics include the successes and challenges of L1 powered products, the revolution in natural language processing, challenges of asynchronous communication in notifications, and the utility of multi-modal AI.

MLOps podcast #192 with Chris Van Pelt, CISO and co-founder of Weights & Biases, Enterprises Using MLOps, the Changing LLM Landscape, MLOps Pipelines sponsored by  @WeightsBiases . // Abstract Chris, provides insights into his machine learning (ML) journey, emphasizing the significance of ML evaluation processes and the evolving landscape of MLOps. The conversation covers effective evaluation metrics, demo-driven development nuances, and the complexities of ML Ops pipelines. Chris reflects on his experience with Crowdflower, detailing its transition to Weights and Biases and stressing the early integration of security measures. The discussion extends to the transformative impact of ML on the tech industry, challenges in detecting subtle bugs, and the potential of open-source models and multimodal capabilities. // Bio Chris Van Pelt is a co-founder of Weights & Biases, a developer MLOps platform. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 12 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all. Chris has worked as a studio artist, computer scientist, and web engineer. He studied both art and computer science at Hope College. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://wandb.ai/site ⁠ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Chris on LinkedIn: https://www.linkedin.com/in/chrisvanpelt/ Timestamps: [00:00] Chris' preferred coffee [00:33] Takeaways[03:50] Huge shout out to Weights & Biases for sponsoring this episode! [04:15] Please like, share, and subscribe to our MLOps channels! [04:25] CrowdFlower [07:02] Difference of CrowdFlower and Trajectory [09:13] Transition from CrowdFlower to Weights & Biases [13:05] Excel spreadsheets being passed around via email [15:45] Evolution of Weights & Biases [19:24] CISO role [22:23] Advise for easy wins [25:32] Transition into LLMs [27:36] Prompt injection risks on data [29:42] LLMs for New Personas [34:42] Iterative Value Evaluation Process [36:36] Iterating on New Release [39:31] Evaluation survey [43:21] Landscape of LLMs and its evolution [45:40] Conan O'Brien [46:48] Wrap up

Gregory Kamradt, Founder of @DataIndependent, discusses challenges in implementing AI, transformative potential of AI in business processes, growth of OpenAI. He shares insights into his latest project, a smart companion app analyzing startup pitches. They explore AI experimentation, AI gateway concept, niche models, Google's strategic direction, and OpenAI's copyright protection measures.

Ads Dawson, Senior Security Engineer at Cohere, discusses securing large language models and NLP APIs. Topics include threat modeling, data breaches, defending against attacks, OWASP Top 10 vulnerabilities, Generative AI Red Teaming, and model hallucination. Also explores practical learning, prompt injections, model monitoring, data drift, and LLM top 1010.com project.