Sergio Perez & Harshita Seth

Adding knowledge to open-source LLMs

When is retrieval-augmented generation not enough? Learn the multi-stage process for deeply embedding new knowledge into an open-source LLM.

Adding knowledge to open-source LLMs
#1about 4 minutes

Understanding the LLM training pipeline and knowledge gaps

LLMs are trained through pre-training and alignment, but require new knowledge to stay current, adapt to specific domains, and acquire new skills.

#2about 5 minutes

Adding domain knowledge with continued pre-training

Continued pre-training adapts a foundation model to a specific domain by training it further on specialized, unlabeled data using self-supervised learning.

#3about 6 minutes

Developing skills and reasoning with supervised fine-tuning

Supervised fine-tuning uses instruction-based datasets to teach models specific tasks, chat capabilities, and complex reasoning through techniques like chain of thought.

#4about 8 minutes

Aligning models with human preferences using reinforcement learning

Preference alignment refines model behavior using reinforcement learning, evolving from complex RLHF with reward models to simpler methods like DPO.

#5about 2 minutes

Using frameworks like NeMo RL to simplify model alignment

Frameworks like the open-source NeMo RL abstract away the complexity of implementing advanced alignment algorithms like reinforcement learning.

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Designer

Andrew Comp

Andrew Comp
Berlin, Germany

Intermediate
Java
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Matching moments

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02:26 MIN

Understanding the core capabilities of large language models

Data Privacy in LLMs: Challenges and Best Practices

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Introducing InstructLab for accessible LLM fine-tuning
01:12 MIN

Introducing InstructLab for accessible LLM fine-tuning

Unlocking the Power of AI: Accessible Language Model Tuning for All

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How large language models are trained
08:05 MIN

How large language models are trained

Inside the Mind of an LLM

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Addressing the core challenges of large language models
05:18 MIN

Addressing the core challenges of large language models

Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps

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Addressing the key challenges of large language models
02:55 MIN

Addressing the key challenges of large language models

Large Language Models ❤️ Knowledge Graphs

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Using large language models as a learning tool
03:42 MIN

Using large language models as a learning tool

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen

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The training process of large language models
02:21 MIN

The training process of large language models

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen

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Using RAG to enrich LLMs with proprietary data
03:17 MIN

Using RAG to enrich LLMs with proprietary data

RAG like a hero with Docling

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