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End of AI tools making mistakes? With Karpathy’s LLM Council, you can run several AI models on your own laptop. They compare answers, challenge each other, and then one lead model gives the final response. Look up the “LLM-Council” repository on GitHub, open the README file, and follow the setup steps. #llmcouncil #gemini #artifitialintelligence #tech #ai

GPT… in just 200 lines of pure Python. No PyTorch. No TensorFlow. No dependencies. 🤯 Andrej Karpathy stripped the entire LLM stack down to the raw math: +, *, log, exp… and a tiny autograd engine. Dataset. Tokenizer. Autograd. GPT model. Training + Inference. That’s it. From 243 lines → 200 lines. Just fundamentals. No fluff. If you truly want to understand LLMs — this is art. Comment “microgpt” to get the link in your DM 🚀 #LLM #MachineLearning #DeepLearning #Python #AI

Well Google Says it is both, currently a Multimodal models! #LLM #chatgpt #ailearning #otomatemarketing

This AI makes multiple top models argue before giving you an answer. It’s called LLM Council and instead of trusting a single AI, this system sends your question to GPT, Claude, Gemini, and Grok at the same time. But here’s the twist. They don’t just answer. They critique each other’s responses, point out mistakes, and rank the best one. Then, they combine everything into one high-confidence answer. Think of it like a boardroom where the smartest AIs fact-check each other before speaking. The entire system was built in under 48 hours, showing how humans can focus on ideas while AI handles the execution. It’s open-source and available on GitHub. 🔥 Comment “COUNCIL” and I’ll DM you the link to access it.

I came across Andrej Karpathy's project called LLM Council, with it you can get multiple AIs like GPT, Gemini, Claude, Llama, Grok e.t.c to debate one another on the same question. The aim is to increase the accuracy of the response you get to a highest possible degree. Comment "AI" and I will send you more details on the project and links to access it. #ai #grok #gemini #claude #chatgpt

If you’re working with LLMs, this protocol matters more than you think. . . . . . #AI #ArtificialIntelligence #LLM #MCP #ModelContextProtocol

My current research is around the LLM models specifically VLM and some concerns are hitting me like privacy and tricky answer output by ChatGPT and Gemini. I shared a short Point of View comparing Local LLM to ChatGPT. Well I may continue to talk about #XR #AI #LLM #VLM #VLA and ROBOTICS as I continue to work on these in the coming days.

Not all Large Language Models (LLMs) are the same. Each AI model is designed for different tasks. Here are some popular LLMs and how they are commonly used: GPT Models (OpenAI) Best for content creation, marketing ideas, coding help, and general problem-solving. Claude (Anthropic) Strong for long documents, research, and deep reasoning tasks. Gemini (Google) Good for research, data understanding, and integration with Google tools. Open-Source LLMs (LLaMA, Mistral, etc.) Used by developers to build custom AI applications and products. The key is simple: Use the right AI model for the right task to get better results. #stratechgy #sethira #llm #ai Your favourite LLM?
Top Creators
Most active in #llm-council-github
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #llm-council-github ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #llm-council-github. Integrated usage of #llm-council-github with strategic Reels tags like #llm council github link and tutorial and #llm council github link is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #llm-council-github
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#llm-council-github is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 215,736 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @dibya_explains with 132,954 total views. The hashtag's semantic network includes 8 related keywords such as #llm council github link and tutorial, #llm council github link, #github llm council karpathy, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 215,736 views, translating to an average of 17,978 views per reel. This viewership level reflects a more community-focused reach, where content primarily circulates within a dedicated audience group.
The highest-performing reel in this dataset received 132,954 views. This viral outlier performance is 740% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #llm-council-github ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @dibya_explains, has contributed 1 reel with a total viewership of 132,954. The top three creators — @dibya_explains, @nine.agents, and @drcintas — together account for 96.2% of the total views in this dataset. The semantic network of #llm-council-github extends across 8 related hashtags, including #llm council github link and tutorial, #llm council github link, #github llm council karpathy, #karpathy llm council github. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #llm-council-github indicate an active content ecosystem. The average of 17,978 views per reel demonstrates consistent audience reach. For creators using #llm-council-github, authentic, niche-specific content that adds real value tends to perform well.
Analyst Verdict
#llm-council-github demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 17,978 views per reel, the viewership metrics position this hashtag as a growing content category. Creators like @dibya_explains and @nine.agents are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #llm-council-github on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.















