2.33 GB | 00:08:27 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Natural vs Artificial Intelligence  (87.9 MB)
2 - Brief history of AI  (187.08 MB)
3 - Demystifying AI Data science Machine learning and Deep learning  (14.17 MB)
4 - Weak vs Strong AI  (56.01 MB)
5 - Structured vs unstructured data  (10.53 MB)
6 - How we collect data  (151.08 MB)
7 - Labelled and unlabelled data  (12.4 MB)
8 - Metadata Data that describes data  (14.49 MB)
10 - Supervised Unsupervised and Reinforcement learning  (47.97 MB)
11 - Deep learning  (243.18 MB)
9 - Machine learning  (169.78 MB)
12 - Robotics  (96.89 MB)
13 - Computer vision  (181.58 MB)
14 - Traditional ML  (53.3 MB)
15 - Generative AI  (84.64 MB)
16 - The rise of Gen AI Introducing ChatGPT  (45.48 MB)
17 - Early approaches to Natural Language Processing NLP  (15.37 MB)
18 - Recent NLP advancements  (25.14 MB)
19 - From Language Models to Large Language Models LLMs  (52.8 MB)
20 - The efficiency of LLM training Supervised vs Semisupervised learning  (29.82 MB)
21 - From NGrams to RNNs to Transformers The Evolution of NLP  (44.38 MB)
22 - Phases in building LLMs  (39.47 MB)
23 - Prompt engineering vs Finetuning vs RAG Techniques for AI optimization  (24.94 MB)
24 - The importance of foundation models  (59.47 MB)
25 - Buy vs Make foundation models vs private models  (15.13 MB)
26 - Inconsistency and hallucination  (58.2 MB)
27 - Budgeting and API costs  (17.24 MB)
28 - Latency  (30.26 MB)
29 - Running out of data  (14.05 MB)
30 - Python programming  (17.88 MB)
31 - Working with APIs  (9.16 MB)
32 - Vector databases  (26.26 MB)
33 - The importance of open source  (128.46 MB)
34 - Hugging Face  (10.11 MB)
35 - Hugging Face  (16.83 MB)
36 - AI evaluation tools  (18.07 MB)
37 - AI strategist  (43.58 MB)
38 - AI developer  (25.88 MB)
39 - AI engineer  (32.44 MB)
40 - AI ethics  (120.06 MB)
41 - Future of AI  (51.62 MB)]
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