
Exploding Topics
Glimpse
Google Trends
Trends.co
Treendly
Slack
Coolors.co
Jama Connect
Unsloth
Fireworks AI
Plexe
Minimax Platform
Mistral Forge
SMOL-GPT
GMI Cloud
EZmodel
Exploding TopicsNo features have been listed yet.
Exploding Topics is recommended for marketers, entrepreneurs, product developers, and business strategists who are looking to gain a competitive edge by identifying and leveraging upcoming trends. It's also useful for investors seeking to understand potential growth areas in various markets.
Based on our record, Exploding Topics should be more popular than Unsloth. It has been mentiond 30 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Check out: https://explodingtopics.com/ (not related to them in any way). - Source: Hacker News / about 1 year ago
Sounds pretty similar to the situation I found myself in. I discovered a few newsletters/tools: trending insights (free), exploding topics ($39/mo), and trends.co ($300/ yr). Source: almost 3 years ago
I also recommend subscribing to newsletters like new venture weekly (free) or Exploding Topics (freemium) for business ideas. Source: almost 3 years ago
Best to start with what you're good at doing, check websites like exploding topics and answer the public to see if there is hype/market around your skillset. Get started by helping people in that niche for free, use AI tools to supercharge your work and find clients. Rinse and repeat until you start making money. Source: almost 3 years ago
There are places that can even help you find the perfect niche to go into like exploding niches, exploding topics to name a few. Source: about 3 years ago
Unsloth is primarily a fine-tuning tool โ it makes QLoRA training 2-5x faster with 50-70% less VRAM. It does NOT run inference. For inference, use Ollama/llama.cpp/MLX. - Source: dev.to / 3 months ago
LoRA is the breakthrough that democratized fine-tuning: by training only 1% of model weights, it reduces GPU/VRAM needs by 10-100x. QLoRA takes it further โ quantizing to 4 bits enables fine-tuning 65B+ parameter models on a single consumer GPU with just 3GB VRAM (Unsloth). - Source: dev.to / 3 months ago
Unsloth AI is designed to optimize large language model fine-tuning on modest hardware. It leverages efficient training algorithms to allow even GPUs with 24GB VRAM, like consumer-grade cards, to fine-tune models such as Llama 3 without massive resource demands or overheating risks. - Source: dev.to / 11 months ago
Lot's of tools for each of those separately (RAG and fine-tuning). We're working on combining them but it's not ready yet. You don't need a big GPU cluster. Fine-tuning is quite accessible via both APIs and local tools. Some suggestions: - getkiln.ai (biased, my tool): let's you try all of the below, and compare/eval the resulting models - API based tuning for closed models: OpenAI, Google Gemini - API based... - Source: Hacker News / about 1 year ago
Install and configure Unsloth in Colab. - Source: dev.to / about 1 year ago
Glimpse - Discover trends before they're trending
Fireworks AI - Use state-of-the-art, open-source LLMs and image models at blazing fast speed, or fine-tune and deploy your own at no additional cost with Fireworks AI!
Google Trends - Explore Google trending search topics with Google Trends.
Plexe - Build and deploy ML models from natural language
Trends.co - We track growing startup trends and explain how to pounce
Minimax Platform - Overview of MiniMax AI models and their capabilities