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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 · World Congress 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 · World Congress 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 · World Congress 2024

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 13:30–14:00

Stage 9

Understanding LLM Architectures: Inside the Design of Modern Models

Jofia Jose Prakash

Director - AI & Governance at Humanity + AI, Inc

Jofia Jose Prakash
Open session

World Congress 2026 North America

September 24, 2026 · 17:30–18:00

Stage 6

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 1

Stop Blaming the Model: The Art and Science of Context Engineering and Architecture

Lena Hall, Thorsten Hans

Lena Hall
Thorsten Hans
Open session

World Congress 2026 North America

September 23, 2026 · 10:00–17:00

Stage 11

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Stage 6

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

Him Raj Singh

Manager, Software Engineer at PayPal

Him Raj Singh
Open session

World Congress 2026 North America

September 25, 2026 · 11:40–12:10

Stage 9

You Can’t Re-Run Sunlight: Designing ML Data Architectures for Physical AI

An Phan

Senior Data Infrastructure Engineer @ Hippo Harvest

An Phan

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