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⁣5 Types of AI Agents: Autonomous Functions & Real-World Applications

⁣5 Types of AI Agents: Autonomous Functions & Real-World Applications

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⁣Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning

⁣Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning

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⁣Proximal Policy Optimization (PPO) - How to train Large Language Models

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⁣Streamlit Tutorial | What is Streamlit | Basic Streamlit Functions | Intellipaat

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⁣JavaScript Interview Prep: Functions, Closures, Currying

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⁣Stanford CS224N NLP with Deep Learning Winter 2019 Lecture 1 – Introduction and Word Vectors

⁣Stanford CS224N NLP with Deep Learning Winter 2019 Lecture 1 – Introduction and Word Vectors

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⁣Lecture 14 | Machine Learning (Stanford)

⁣Lecture 14 | Machine Learning (Stanford)

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⁣Lecture 48 — Dimensionality Reduction with SVD | Stanford University

⁣Lecture 48 — Dimensionality Reduction with SVD | Stanford University

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2,955 Views · 06/02/23

⁣Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and Deep Q Learning

⁣Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and Deep Q Learning

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 17 – Multitask Learning

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 17 – Multitask Learning

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2,817 Views · 06/02/23

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 5 – Dependency Parsing

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 5 – Dependency Parsing

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⁣Lecture 13 | Machine Learning (Stanford)

⁣Lecture 13 | Machine Learning (Stanford)

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⁣Lecture 18 | Machine Learning (Stanford)

⁣Lecture 18 | Machine Learning (Stanford)

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 16 – Coreference Resolution

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 16 – Coreference Resolution

Generative AI

3,082 Views · 06/02/23

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation

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3,773 Views · 06/02/23

⁣Stanford Machine Learning Lecture 1 - CondensedLectures

⁣Stanford Machine Learning Lecture 1 - CondensedLectures

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 20 – Future of NLP + Deep Learning

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 20 – Future of NLP + Deep Learning

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3,103 Views · 06/02/23

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 – Backpropagation

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 – Backpropagation

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3,997 Views · 06/02/23

⁣CS224W: Machine Learning with Graphs | 2021 | Lecture 7.3 - Stacking layers of a GNN

⁣CS224W: Machine Learning with Graphs | 2021 | Lecture 7.3 - Stacking layers of a GNN

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Lecture 3 | Loss Functions and Optimization

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Autoplay

⁣5 Types of AI Agents: Autonomous Functions & Real-World Applications

⁣5 Types of AI Agents: Autonomous Functions & Real-World Applications

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0 Views · 02/21/26

⁣Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning

⁣Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning

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⁣Streamlit Tutorial | What is Streamlit | Basic Streamlit Functions | Intellipaat

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⁣Stanford CS224N NLP with Deep Learning Winter 2019 Lecture 1 – Introduction and Word Vectors

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⁣Lecture 14 | Machine Learning (Stanford)

⁣Lecture 14 | Machine Learning (Stanford)

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⁣Lecture 48 — Dimensionality Reduction with SVD | Stanford University

⁣Lecture 48 — Dimensionality Reduction with SVD | Stanford University

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⁣Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and Deep Q Learning

⁣Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and Deep Q Learning

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 17 – Multitask Learning

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 17 – Multitask Learning

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 5 – Dependency Parsing

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 5 – Dependency Parsing

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⁣Lecture 13 | Machine Learning (Stanford)

⁣Lecture 13 | Machine Learning (Stanford)

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⁣Lecture 18 | Machine Learning (Stanford)

⁣Lecture 18 | Machine Learning (Stanford)

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 16 – Coreference Resolution

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 16 – Coreference Resolution

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 15 – Natural Language Generation

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⁣Stanford Machine Learning Lecture 1 - CondensedLectures

⁣Stanford Machine Learning Lecture 1 - CondensedLectures

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 20 – Future of NLP + Deep Learning

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 20 – Future of NLP + Deep Learning

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⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 – Backpropagation

⁣Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 4 – Backpropagation

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3,997 Views · 06/02/23

⁣CS224W: Machine Learning with Graphs | 2021 | Lecture 7.3 - Stacking layers of a GNN

⁣CS224W: Machine Learning with Graphs | 2021 | Lecture 7.3 - Stacking layers of a GNN

Generative AI

2,663 Views · 06/02/23

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