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Clarifai Blog

Supercharge your LLM via Retrieval Augmented Fine-tuning

Learn about Retrieval Augmented Fine-Tuning (RAFT), a method that combines the benefits of ...

The Landscape of Multimodal Evaluation Benchmarks

Explore the key features of ten multimodal datasets and benchmarks to assess the performance of multimodal ...

Clarifai 10.7: Your Data, Your AI: Fine-Tune Llama 3.1

Fine-tune Llama 3.1 using the latest training template within the Clarifai Platform for your use cases. New ...

Clarifai 10.6: Click, Annotate, Dominate with Auto-Annotation

Auto-annotate your entire image dataset with a single click, integrated the Embedchain framework with ...

Do LLMs Reign Supreme in Few-Shot NER? Part III

Explore the effectiveness of LLMs in few-shot Named Entity Recognition (NER) by comparing their performance ...

Clarifai 10.5: Gear Up Your AI: Fine-Tuning LLMs

Fine-tuning LLMs, Coding App template, Clarifai LiteLLM integration, New models: GPT-4o, Gemini-1.5-Flash, ...

Clarifai 10.4: From Zero to App in 5 minutes

Explore the latest App templates, new models (Llama-3 70B, Llama-3 70B instruct, Llama-3 8B instruct, ...

Clarifai 10.3: Template Wizardry: Build Apps with a Click

Explore the latest updates on App templates, Node SDK, new models (Mistral Large, Deepgram Aura-TTS, ...

Industry News Clarifai API AI in 5

Nvidia's Breakthrough and Hybrid AI with Clarifai

Nvidia's groundbreaking announcement sent ripples through the tech industry, promising to reshape the ...

Clarifai 10.2: Report card for your LLMs

Explore the latest updates on LLM Evaluation, new models (Claude 3, Gemma, and many more), notifications on ...

Build a Retrieval-Augmented Generation (RAG) system in 4 lines of code

Step-by-step tutorial to build a RAG system with Python in just 4 lines of code.

Clarifai API AI in 5 few-shot learning finetuning

Few-Shot Learning in Production

Clarifai collaborated with University of Toronto Engineering Science students (Machine Intelligence) on ...

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