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Decoding vLLM: Strategies for Supercharging Your Language Model Inferences

Analytics Vidhya

Introduction Large Language Models (LLMs) have revolutionized how we interact with computers. However, deploying these models in production can be challenging due to their high memory consumption and computational cost.

Strategy 309
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Top 7 Strategies to Mitigate Hallucinations in LLMs

Analytics Vidhya

The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. This phenomenon […] The post Top 7 Strategies to Mitigate Hallucinations in LLMs appeared first on Analytics Vidhya.

Strategy 309
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Amplifying Deep Learning: A Dive into Data Augmentation Strategies

Analytics Vidhya

We use methods like turning images or flipping them to make our model learn better. This helps for our learning model […] The post Amplifying Deep Learning: A Dive into Data Augmentation Strategies appeared first on Analytics Vidhya. But our datasets are becoming more complicated.

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Building End-to-End Generative AI Models with AWS Bedrock

Analytics Vidhya

Introduction In the past, Generative AI has captured the market, and as a result, we now have various models with different applications. The evaluation of Gen AI began with the Transformer architecture, and this strategy has since been adopted in other fields. Let’s take an example.

Modeling 307
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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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MLOps Strategies for Sales Conversion Success

Analytics Vidhya

The article takes you into the transformative role that MLOps strategies play in revolutionizing sales conversion success. As businesses strive for heightened efficiency and enhanced […] The post MLOps Strategies for Sales Conversion Success appeared first on Analytics Vidhya.

Sales 304
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RLHF For High-Performance Decision-Making: Strategies and Optimization

Analytics Vidhya

RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategies and Optimization appeared first on Analytics Vidhya.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. It’s no surprise given the non-deterministic nature of LLMs.

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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. The importance of governance in ensuring consistency in the modeling process. But it’s not always easy for organizations to do. AI storytelling in communicating value to your organization.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities. Key questions for executives and leaders to answer about their AI strategy. Democratizing AI through your organization requires more than just software. Aligning AI to your business objectives. Building trust in AI.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Watch this exclusive demo today!

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A PM's Guide to Building a Culture of Product Innovation

Speaker: Bob Webber, VP Product Flow Optimization, Construx

This webinar is for engineering and product leaders who are struggling to find an innovation strategy that works. Bob Webber, a thought leader in innovation, has developed a new model that explains why some organizations become innovative while others never do. In this discussion, you will learn: A new innovation model.

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Bridging the Online and Offline: How to Apply Product Thinking to Expanding Your eCommerce Business

Speaker: John Cutler, Product Evangelist and Coach at Amplitude

Even brick and mortar businesses are integrating more digital approaches to CX -- testing out loyalty programs and subscription-based models. In this session, you will learn: How to shift your ecommerce strategy to encompass a more product-based ideology. How product data can optimize your subscription and loyalty models.

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The Modern Customer Success Playbook

The evolution of every high-functioning, effective customer success strategy centers around three C’s: connected experiences, an engaging customer journey, and a culture built on customer-centricity. Develop an effective customer health scoring model to mitigate churn and identify opportunities across your customer base.

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Best practices, pitfalls, practical first steps and models to scale adoption and continuously improve.