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WeAreDevelopers LIVE • May 22, 2024

Creating Industry ready solutions with LLM Models

Vijay Krishan Gupta , Gauravdeep Singh Lotey

How do you transform unpredictable LLMs into secure, enterprise-ready tools? Learn to eliminate hallucinations and build reliable workflows using RAG, LangChain, and vector databases.

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#1 about 2 min

Evolution and impact of large language models

Historical analogies illustrate how foundational text prediction models unlock unpredictable technological advancements.

#2 about 3 min

Understanding large language model fundamentals and self attention

Billions of parameters and self-attention mechanisms enable neural networks to resolve ambiguity and predict sequence tokens.

#3 about 2 min

Driving business value through language model adoption

Organizations rapidly integrate conversational artificial intelligence to drive efficiency despite known probabilistic limitations.

#4 about 3 min

Unlocking emergent abilities using advanced prompting techniques

Supplying contextual step-by-step reasoning allows developers to harness emergent capabilities without requiring extensive fine-tuning.

#5 about 3 min

Building enterprise conversational applications with language models

Applied integrations range from automated level-one support systems to sophisticated medical transcribing tools.

#6 about 7 min

Integrating enterprise software through a conversational interface

Unified chat interfaces streamline employee operations by querying disparate tracking and human resource databases simultaneously.

#7 about 4 min

Automating pharmaceutical document compliance via data extraction

Conversational document verification helps pharmaceutical developers ensure product specifications comply with strict authority guidelines.

#8 about 3 min

Converting static websites into interactive search chatbots

Automated text extraction converts unstructured website media into a navigable and context-aware virtual assistant.

#9 about 6 min

Addressing core challenges in large language model deployments

Practical strategies mitigate intrinsic system risks like logic hallucinations, privacy breaches, and response variability.

#10 about 8 min

Optimizing prompts to achieve deterministic model outputs

Constraint-based formatting instructions establish clear operational rules to minimize unwanted model variations.

#11 about 4 min

Enhancing domain context using retrieval augmented generation

Vectorizing proprietary documents improves specialized query responses without exposing sensitive internal data to public endpoints.

#12 about 10 min

Building a local retrieval augmented generation application in Python

A programmatic walkthrough demonstrates assembling vector chunking pipelines using open source processing frameworks.

#13 about 9 min

Audience questions on data integration and future action models

Deploying offline vectors and building autonomous task-oriented models resolve pressing enterprise privacy and latency concerns.

Matching moments

2:26 min

Capabilities and applications of large language models

Aditi Godbole · LIVE

1:12 min

Enhancing conversational intent through modern large language models

Nathaniel Okenwa Nathaniel Okenwa · WWC 2025

4:03 min

Enhancing conversational output via generative AI models

Xavier Portilla Edo · LIVE

2:29 min

Integrating language models into broader established software ecosystems

Zan Markan Zan Markan · WWC 2024

1:39 min

Leveraging generative AI and agents for executive productivity

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

2:52 min

Scaling generative AI use cases across large enterprises

Mike Butcher Mike Butcher +3 · WWC 2024

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Understanding LLM Architectures: Inside the Design of Modern Models

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Enterprise AI Architect at American Chemical Society

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Open session

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An Phan

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Yuval Dvir

Commercial Executive, SandboxAQ

Yuval Dvir

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