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कृत्रिम बुद्धिमत्ता में नवीनतम तकनीकों, टूल्स और शोध से अपडेट रहें। हमारे एआई ट्यूटोरियल्स आपको चुनौतीपूर्ण मशीन लर्निंग मॉडलों के माध्यम से स्टेप-बाय-स्टेप ले जाएंगे।
अन्य प्रौद्योगिकियाँ:
दो या दो से अधिक लोगों को प्रशिक्षण देना?DataCamp for Business को आज़माएँ
Fine-Tuning NVIDIA Nemotron-3-Nano On Psychology Q&A Data
Learn to fine-tune NVIDIA Nemotron-3-Nano-4B on a psychology Q&A dataset using an RTX 3090 GPU using LoRA and TRL after downloading the model from Hugging Face.
Abid Ali Awan
29 अप्रैल 2026
OpenAI Agents SDK: How to Run Agents in Modal Sandboxes
Learn how to build an OpenAI agent app that runs inside Modal Sandboxes, works with files, executes code, and returns results in this hands-on Python tutorial.
Abid Ali Awan
27 अप्रैल 2026
Qwen 3.6 Plus API Tutorial: Building an Invoice Processing Pipeline in Python
Learn how to use Alibaba's Qwen 3.6 Plus, Python, and the OpenAI SDK to build an automated invoice processing pipeline with native vision and tool calling.
Bex Tuychiev
27 अप्रैल 2026
Claude Opus 4.7: A Practical Benchmark of Memory and Effort Levels
Build a Streamlit benchmark application that tests whether Opus 4.7 self-critique memory actually improves coding performance across high, xhigh, and max effort levels.
Aashi Dutt
21 अप्रैल 2026
Claude Code Auto Mode and Channels: Build Code From Anywhere
Learn how to pair Claude Code Auto Mode with Telegram Channels to run an autonomous write-test-debug loop from your phone.
Bex Tuychiev
22 जुलाई 2026
Fine-Tuning Qwen3.6 On a Medical Q&A Dataset
Learn how to fine-tune Qwen3.6 on an H100 NVL GPU using SFT, from dataset preparation and 4-bit loading to training and evaluation.
Abid Ali Awan
21 अप्रैल 2026
LLM As a Judge: A Complete Guide With Hands-On RAG Example
Learn how to build an automated LLM-as-a-judge system to evaluate your RAG pipelines for faithfulness and relevance at scale and bridge the gap in AI testing.
Josep Ferrer
20 अप्रैल 2026
Claude Opus 4.7 API Tutorial: Building a Chart Digitizer
Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.
François Aubry
20 अप्रैल 2026
Running MiniMax M2.7 Locally for Agentic Coding
In this guide, we will rent an H200 GPU and install llama.cpp, download MiniMax M2.7 GGUF, run it locally, test it in the WebUI, and connect it to OpenCode.
Abid Ali Awan
17 अप्रैल 2026
Ollama Python Library: Getting Started with LLMs Locally
Master the Ollama Python SDK for local LLM development. Learn to generate text, handle multi-turn chats, use vision models, and build AI apps securely.
Austin Chia
17 अप्रैल 2026
Microsoft MAI Models: Testing MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 with Streamlit
Build a working demo app that calls all three Microsoft MAI models via Azure speech-to-text, text-to-speech, and image generation, and learn what these models can do.
Aashi Dutt
15 अप्रैल 2026
LM Studio Tutorial: Get Started with Local LLMs
Discover how to install and run LLMs locally using LM Studio. Keep your data private, chat with documents using built-in RAG, and set up a local API.
Srujana Maddula
14 अप्रैल 2026