46:31
XAI for LLMs: looking under the hood of Large Language Models
54:31
Intro to Llama-agents Framework (+ live demo)
19:14
Generative AI Tools and Adoption
27:01
PandasAI - From Open Source to User-centric Products
23:42
Agents Embedded in the Real World
06:26
Human Feedback Foundation - LLMs
28:12
LLM Products vs Traditional Digital Products
06:10
LLM as Personal Financial Assistant
31:41
LLM Products for Regulated Industries
04:50
LLMs and Business Workflows
08:49
5 Commandments of Building LLM Products
18:56
Building a LLM Testing API
07:56
LLMs - Chunking Strategies and Chunking Refinement
35:35
Large Language Models as a Building Blocks
13:37
Competitive Advantage for Startups in era of LLMs
26:59
Intersection Between LLMs and Products
01:35
What is the right team composition in era of LLMs?
08:23
Building an LLM Teacher-bot
03:12
What is the relationship between LLMs and multi-modality?
01:11
What are the system level considerations for using LLMs?
02:02
What is the relationship between language and intelligence?
07:13
How do you improve your RAG pipeline?
01:45
Are long context LLMs the death of RAG?
02:54
How Do You choose between training, fine-tuning, and using small models?
04:47
LLM Evaluation, Validation, and Verification
01:28
How Do You Validate LLM Systems Beyond Benchmarks?
01:59
Can Sherpa (multi-agent llm) Handle Multi-modality?
02:24
What Kind of Risks Are Specific to LLMs?
02:06
LLMs, What Skills to Learn? and What a Time to be Alive!
01:27
How do you Force an LLM to Keep Track of the Assumptions a Document Makes?
03:13
How to Annotate Data for LLM Applications
02:06
What is the Role of Data Quality and Diversity in LLM Systems?
30:24
Testing Strategies for LLMs - SHERPA - Open Source Project Update, 2023-12-08
25:43
Evaluating Job Exposure to Large Language Models
23:52
Empirical Rigor in ML
41:27
Evaluation of Multimodal RAG Systems using the LlamaIndex
18:07
Intro to Language Model Operations (LLM-Ops)
14:20
Normie Tools for Validating LLM Outputs
18:57
Automatic Evaluation of Dialogue Systems using LLMs
24:04
SHERPA - Open Source Project Update, 2023-09-29
25:46
Eliciting Business Insights at Scale with Conversational AI
29:59
Challenges and Solutions for LLMs in Production
32:21
Practical Applications, Impact, and ROI of Generative AI
31:30
Role of Human Factors in Adoption of Generative AI in Life Sciences
28:41
Constructing Synthetic Datasets using LLMs
28:06
LLMs, Gen AI and Stakeholder Buy-in
40:40
Council: A Framework for Developing Generative AI Applications
23:28
LLM Pitch Session - Technical Customer Experience and Effective Communication
33:58
LLMs for Security Compliance Assessment
22:56
Forecasting Systems and Disruption with Transformers
23:09
Startup Pitch: Automating Data Extraction with AI
27:47
LLM Live Book - Project Update - 2023-08-11
16:52
The Importance of Privacy in ChatGPT and LLMs
24:27
Building Ernie for Topic Modelling Using LLMs
37:20
The Business Impact and Challenges of Using Large Language Models
50:45
LLMs in Production - A Costly Dilemma!
25:43
Diving Into Document Question and Answering Systems with LLMs
22:09
Project Update - Building a Live Book
19:39
High Performance Computing on Cloud for Generative AI
25:31
ThinkGPT: Agent and Chain of Thought techniques for LLMs
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About
AISC is a community of intellectually curious individuals centred around technical review and discussion of advances in machine learning, including but not limited to Large Language Modesl.
Welcoming, supportive community of machine learning practitioner and researchers, coming from industry and academia, with an array of experience, from avid learners to experts in their fields. Our group is centred around consistent meetings focused on meticulous but friendly discussions of advances in machine learning, covering both intuitive understanding and foundational technical details.
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