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🧠 Large Language Models

Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI

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Natural program integrates deductive verification into the chain of thought, self-verified by LLM.
🧠 Large Language Models
Natural program integrates deductive verification into the chain of thought, self-verified by LLM.
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Demos optimize costs, energy, performance, and privacy in on-device AI with full-stack optimization
🧠 Large Language Models
Demos optimize costs, energy, performance, and privacy in on-device AI with full-stack optimization
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Prediction of shift in LLMs: Embedding desiderata in training to avoid post hoc interventions.
🧠 Large Language Models
Prediction of shift in LLMs: Embedding desiderata in training to avoid post hoc interventions.
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Markus' approach: not quantization method but a solution to eliminate activation quantization issues
🧠 Large Language Models
Markus' approach: not quantization method but a solution to eliminate activation quantization issues
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - 663
🧠 Large Language Models
Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - 663
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Explore diverse tool collaboration for enhanced LLM solutions, usability, and dev-friendly solutions
🧠 Large Language Models
Explore diverse tool collaboration for enhanced LLM solutions, usability, and dev-friendly solutions
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Retrieval patterns allows the model to act as a ‘problem-solving brain’, yielding smarter solutions.
🧠 Large Language Models
Retrieval patterns allows the model to act as a ‘problem-solving brain’, yielding smarter solutions.
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Patterns and Middleware for LLM Applications with Kyle Roche - 659
🧠 Large Language Models
Patterns and Middleware for LLM Applications with Kyle Roche - 659
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
AI concerns demand traceability. Resource allocation sparks values divide in present & future models
🧠 Large Language Models
AI concerns demand traceability. Resource allocation sparks values divide in present & future models
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
The main challenges for multilingual models: balancing languages and dealing with poor data quality.
🧠 Large Language Models
The main challenges for multilingual models: balancing languages and dealing with poor data quality.
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Turn problems to checklists and restructure from low to high-level judgments to avoid hallucinations
🧠 Large Language Models
Turn problems to checklists and restructure from low to high-level judgments to avoid hallucinations
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Anthropomorphism in terminology is inevitable but it’s important to clarify these are just metaphors
🧠 Large Language Models
Anthropomorphism in terminology is inevitable but it’s important to clarify these are just metaphors
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Prompting pretrained models is subtractive, unveiling the model's behavior and text predictions
🧠 Large Language Models
Prompting pretrained models is subtractive, unveiling the model's behavior and text predictions
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - 652
🧠 Large Language Models
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - 652
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Finding global talent and open collaboration are keys to establishing unique and meaningful research
🧠 Large Language Models
Finding global talent and open collaboration are keys to establishing unique and meaningful research
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Multilingual LLMs and the Values Divide in AI with Sara Hooker - 651
🧠 Large Language Models
Multilingual LLMs and the Values Divide in AI with Sara Hooker - 651
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Evaluating AI's general performance & finding models for unrestricted prompting remains a challenge
🧠 Large Language Models
Evaluating AI's general performance & finding models for unrestricted prompting remains a challenge
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
AI shifts from engineering to complex system science, struggles with understanding emergent behavior
🧠 Large Language Models
AI shifts from engineering to complex system science, struggles with understanding emergent behavior
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Shift to multimodal models: Visual grounding, embodiment, & more data unlock exciting possibilities
🧠 Large Language Models
Shift to multimodal models: Visual grounding, embodiment, & more data unlock exciting possibilities
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Scaling Multi-Modal Generative AI with Luke Zettlemoyer - 650
🧠 Large Language Models
Scaling Multi-Modal Generative AI with Luke Zettlemoyer - 650
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Altering the weights is vital in adding concepts. Hypernetwork personalize weights for faster 🖼️ gen
🧠 Large Language Models
Altering the weights is vital in adding concepts. Hypernetwork personalize weights for faster 🖼️ gen
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Through fine-tuning and specialization, you resurface the prior knowledge leading to better results.
🧠 Large Language Models
Through fine-tuning and specialization, you resurface the prior knowledge leading to better results.
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
The core idea behind diffusion models: Clean ➡️ Noise ➡️ Train ➡️ Denoise ➡️ Generate
🧠 Large Language Models
The core idea behind diffusion models: Clean ➡️ Noise ➡️ Train ➡️ Denoise ➡️ Generate
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
The ML metrics are behind where the tech is. LLMs score lower on metrics but generate better results
🧠 Large Language Models
The ML metrics are behind where the tech is. LLMs score lower on metrics but generate better results
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
"LLMs are narcissistic in that they find their own work better than a human-generated text” - Shreya
🧠 Large Language Models
"LLMs are narcissistic in that they find their own work better than a human-generated text” - Shreya
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Is RAG an essential component of the LLM stack? #llm #aisafety #artificialintelligence
🧠 Large Language Models
Is RAG an essential component of the LLM stack? #llm #aisafety #artificialintelligence
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Hallucination is a top concern in LLM safety but broader AI safety issues lie beyond hallucinations
🧠 Large Language Models
Hallucination is a top concern in LLM safety but broader AI safety issues lie beyond hallucinations
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Ensuring LLM Safety for Production Applications with Shreya Rajpal - 647
🧠 Large Language Models
Ensuring LLM Safety for Production Applications with Shreya Rajpal - 647
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
Language 🗣️ is the key ingredient to achieving human-like AI 🧠
🧠 Large Language Models
Language 🗣️ is the key ingredient to achieving human-like AI 🧠
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Specific and meaningful labels instead of generic labels leads to a richer language representation
🧠 Large Language Models
Specific and meaningful labels instead of generic labels leads to a richer language representation
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
The transition to attention models and the lack of true recurrence yields better model training
🧠 Large Language Models
The transition to attention models and the lack of true recurrence yields better model training
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
What’s Next in LLM Reasoning? with Roland Memisevic - 646
🧠 Large Language Models
What’s Next in LLM Reasoning? with Roland Memisevic - 646
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Consistency & robustness in #generativeai models are crucial for software stability and performance
🧠 Large Language Models
Consistency & robustness in #generativeai models are crucial for software stability and performance
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Just how different were the results between GPT-3.5 and GPT-4?
🧠 Large Language Models
Just how different were the results between GPT-3.5 and GPT-4?
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
How necessary are new tools for monitoring the behavior of models like #GPT4?
🧠 Large Language Models
How necessary are new tools for monitoring the behavior of models like #GPT4?
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
Is ChatGPT Getting Worse? with James Zou - 645
🧠 Large Language Models
Is ChatGPT Getting Worse? with James Zou - 645
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
Accelerating Deep Learning in Traditional Models
🧠 Large Language Models
Accelerating Deep Learning in Traditional Models
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
From Sparsity to Density: The Power of Embeddings
🧠 Large Language Models
From Sparsity to Density: The Power of Embeddings
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
Combining Deep Learning and Traditional Models
🧠 Large Language Models
Combining Deep Learning and Traditional Models
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Teaching Large Language Models to Stick to the Script
🧠 Large Language Models
Teaching Large Language Models to Stick to the Script
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Reinventing Tooling in the age of Generative AI
🧠 Large Language Models
Reinventing Tooling in the age of Generative AI
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
What is the Right Approach for Enterprise LLM Users? The Jury is Still Out
🧠 Large Language Models
What is the Right Approach for Enterprise LLM Users? The Jury is Still Out
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Enterprise Machine Learning Trends; What is your experience?
🧠 Large Language Models
Enterprise Machine Learning Trends; What is your experience?
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
The Enterprise LLM Landscape with Atul Deo - 640
🧠 Large Language Models
The Enterprise LLM Landscape with Atul Deo - 640
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Hallucination in Large Language Models (LLMs)
🧠 Large Language Models
Hallucination in Large Language Models (LLMs)
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
The Future of Bloomberg's GPT-Style Large Language Model
🧠 Large Language Models
The Future of Bloomberg's GPT-Style Large Language Model
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
How to Train a Large Language Model
🧠 Large Language Models
How to Train a Large Language Model
The TWIML AI Podcast with Sam Charrington Intermediate 2y ago
Harnessing the Power of Smaller Models: Unraveling the Secrets of LLaMA-style Training
🧠 Large Language Models
Harnessing the Power of Smaller Models: Unraveling the Secrets of LLaMA-style Training
The TWIML AI Podcast with Sam Charrington Advanced 2y ago
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