This AI image generation model is being dubbed the rightful heir to Stable Diffusion and it quickly went viral after its release with direct comparisons to market leader Midjourney.
The difference between Flux and Midjourney is that Flux is open-source and can run on a reasonably good laptop.
Types of Models/Pricing
The first is a Pro version with a commercial license and is mainly used by companies like FreePik to offer its subscribers access to generative AI image technology.
The next two are Dev and Schnell. These are the mid-weight and fast models and in my tests — running on a laptop with an RTX 4090
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Methods for adapting large language models for your usecases
In this post, we’ll take a look at the various approaches available to adapt LLMs to domain data.
Approaches to LLM adaptation
Pre-training
- Pre-training is the process of training an LLM from scratch using trillions of data tokens.
Continued pre-training
-Continued pre-training (a.k.a. second-stage pre-training) involves further training a foundation model with new, unseen domain data
Fine-tuning
- Fine-tuning is the process of adapting a pre-trained language model using an annotated dataset in a supervised manner or using reinforcement learning-based techniques
Retrieval augmented generation (RAG)
-RAG is quintessentially “search-powered LLM text generation.”
In-context learning (ICL)
- we adapt the LLM by placing prototype examples in the prompt
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Claude 3.5 Sonnet
Claude 3.5 Sonnet is now available for free on Claude.ai and the Claude iOS app, while Claude Pro and Team plan
Claude 3.5 Sonnet sets new industry benchmarks for graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval).
Artifacts—a new way to use Claude
A dynamic workspace where they can see, edit, and build upon Claude’s creations in real-time,seamlessly integrating AI-generated content into their projects and workflows.
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