machinelearnear
14.1K subscribers
47:50
#Milei-GPT: Fine-tuning con +300 horas de entrevistas (tutorial con repo incluido)
machinelearnear
9.4K views • 3 days ago
42:11
Probamos Llama-3 de Meta y es el nuevo 👑 open source!
machinelearnear
7.4K views • 1 month ago
37:05
The Shift from Models to Compound AI Systems
machinelearnear
2.6K views • 2 months ago
13:32
🎨 IDEOGRAM v1.0, the best free text-on-image generator!
machinelearnear
1.6K views • 2 months ago
39:44
[#110] Mistral Large & "Le Chat", Function Calling & JSON (+ Demo)
machinelearnear
2.8K views • 3 months ago
29:54
[#109] 🤯 #OpenAI Sora, #Gemini Pro 1.5, Meta V-JEPA 🤖
machinelearnear
3.3K views • 3 months ago
42:51
[#108] Tutorial for Buying a House Using AI and LLMs (repo included)
machinelearnear
2.6K views • 3 months ago
35:49
[#107] Robots are ALREADY cooking and making coffee, what else is going to happen in 2024?
machinelearnear
1.3K views • 4 months ago
34:26
[#106] Mixtral-8x7B: +6% better than GPT-3.5, free, and works locally! (demo and analysis)
machinelearnear
6.3K views • 5 months ago
38:54
[#105] Did Google nail it with GEMINI? Demo (fake), technical paper, and comparison vs GPT-4
machinelearnear
3.3K views • 5 months ago
31:42
[#104] Rise of Chinese Open Source LLMs: Yi, Qwen, and DeepSeek-67B
machinelearnear
2.1K views • 5 months ago
30:11
[#103] Stability AI Memberships: A Good or Bad Business Idea?
machinelearnear
1.4K views • 5 months ago
25:08
[#102] Bard, GPT-4V, and CogVLM: Revolutionizing Multimodal Understanding
machinelearnear
2.2K views • 6 months ago
13:51
[#101] GPT4-V creates an app for us in seconds (screenshot-to-code)
machinelearnear
6.8K views • 6 months ago
34:27
[#100] Orca 2 Explained: How It's Changing Small Language Models
machinelearnear
2.5K views • 6 months ago
50:33
[#99] Prompting: Current State of the Art (Oct '23)
machinelearnear
2.5K views • 6 months ago
48:12
[#98] Mistral-7B: New Open Source Heavyweight! Analysis & Demo
machinelearnear
3.7K views • 7 months ago
30:36
[#97] Humpback: How can we align language models?
machinelearnear
1.9K views • 8 months ago
27:05
[#96] Falcon-180B: Is it really a good model or not? Analysis & Demo"
machinelearnear
2.3K views • 8 months ago
48:18
[#95] We Build an LLM App Step by Step with GPT4, LangChain, Whisper, and More
machinelearnear
4.1K views • 9 months ago
21:32
[#94-3] Creating applications with LLMs and large context windows (32K) via fine-tuning (3 out of 3)
machinelearnear
1.6K views • 9 months ago
12:29
[#94-2] Llama2-7B-32K: "Position Interpolation" Explained (2 out of 3)
machinelearnear
1.1K views • 9 months ago
19:38
[#94-1] LLMs with 32K tokens context windows. Llama2, Tokenizers, FastAttention-2, Together (1 of 3)
machinelearnear
2.2K views • 9 months ago
22:31
[#93] StableBeluga: @StabilityAI combines Orca+LLaMA to get closer to ChatGPT (+Demo) 🐋🦙🤖
machinelearnear
2.8K views • 10 months ago
34:25
[#92] Google Bard & Claude-V2: Detailed Review of the Latest Updates to Proprietary Models
machinelearnear
2K views • 10 months ago
31:06
[#91] Deep Analysis of GPT-4: Is It Getting Worse Over Time? 🕵️♂️🤖
machinelearnear
2.3K views • 10 months ago
29:47
[#90] 'Textbooks Are All You Need': Phi-1 is better than ChatGPT and 130 times smaller
machinelearnear
3.8K views • 10 months ago
19:45
[#89] PanoHead: Tutorial to create photo-realistic 3D models from a single image
machinelearnear
2.5K views • 10 months ago
39:25
[#88] The new stack for LLMs: How companies create AI applications
machinelearnear
4.6K views • 11 months ago
34:21
[#87] 🐳 "Orca": New Open Source Model by Microsoft
machinelearnear
8K views • 11 months ago
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