| ★ | How to Run Merged AI Models for Hybrid Performance | Breaking Divide @breakingdivide | 38 | Estados Unidos | |
| 5 | How to Add AI to Your .NET App Using GitHub Models (In Minutes!) | Milan Jovanović @milanjovanovictech | — | Serbia | 86 |
| 16 | How do LLM work | | — | India | 85 |
| 3 | Accelerate your AI applications with native vision-language Flash models. ⚡️ | Alibaba Cloud @alibabacloud | 31.2K | Singapur | 86 |
| 9 | What are LLM's or Large Language Models? | | 23.9K | India | 85 |
| 17 | How to Add LLMs to VR Apps with AI Building Blocks | Dilmer Valecillos @dilmerv | 4.2K | Estados Unidos | 85 |
| 1 | Model scores vs real performance | What's AI by Louis-François Bouchard @whatsai | 2.1K | Canadá | 86 |
| 2 | How AI systems reduce mistakes | What's AI by Louis-François Bouchard @whatsai | 925 | Canadá | 86 |
| 20 | Choosing the Right Model is Hard. Maintaining Accuracy is Harder. | | 925 | Reino Unido | 85 |
| 15 | Everything you need to know about LLMs | What's AI by Louis-François Bouchard @whatsai | 826 | Canadá | 85 |
| 13 | The Best AI Models for n8n Workflows (LLM Benchmarks) | Ryan & Matt Data Science @ryanandmattdatascience | 673 | Estados Unidos | 85 |
| 14 | How AI evaluates other AI | What's AI by Louis-François Bouchard @whatsai | 565 | Canadá | 85 |
| 11 | Why You Don’t Need Expensive AI Models: Practical LLM Advice from Agentic RAG Fireside Chat | Progress Software @progresssw | 347 | Estados Unidos | 85 |
| 10 | Accelerate LLM post training with W&B Serverless SFT | Weights & Biases @weightsbiases | 282 | Estados Unidos | 85 |
| 19 | For the Leader Architect: Why your organization needs fine-tuned Generative AI LLMs? | | 258 | Estados Unidos | 85 |
| 7 | How Large Language Models LLMs Work & Their Issues? | SAIConference @saiconference | 201 | Reino Unido | 85 |
| 8 | The evolution of LLM evaluation and Japan’s cutting-edge benchmarks on the Nejumi leaderboard | Weights & Biases @weightsbiases | 177 | Estados Unidos | 85 |
| 6 | Fully Connected Tokyo: [Hands-on workshop] From 0 to automated evals | Weights & Biases @weightsbiases | 143 | Estados Unidos | 86 |
| 4 | Building an LLM: A Complete Guide to Creating Your Own Large Language Model from Scratch | One Minute Finance @oneminutefinance | 137 | Reino Unido | 86 |
| 12 | Model Recycling: Efficient AI Updates Explained | SAIConference @saiconference | 105 | Reino Unido | 85 |
| 18 | LangChain: LLM Integration for Elixir Apps with Mark Ericksen | | 64 | Estados Unidos | 85 |