rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
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11 Powerful Image Models
Everyone is buzzing around image generation this week, or more specifically, Google's Nano-Banana. So today we want to share a list of models that can be your great toolkit for image generation + editing + multi-turn refinement.
1. Gemini 2.5 Flash Image, or Nano-Banana →
https://deepmind.google/models/gemini/image/
Google’s newest image model with conversational editing, character consistency, and multi-image fusion. Available in AI Studio and the Gemini API. Price: $2.50 per 1M tokens
2. FLUX (Black Forest Labs) → https://bfl.ai/
A family of models known for rich detail and, excellent prompt adherence, and fast iterative generation. Offered in several variants, from Pro to open-source, it's accessible via Hugging Face, Replicate, Azure AI Foundry, etc., and used as a base in many pipelines. Price: $0.025-0.08 per image
3. Midjourney v7 → https://www.midjourney.com/
Enhanced image fidelity, prompt comprehension, and anatomical coherence (hands, bodies, objects) + provides a smart lightbox editor. The Omni-reference tool improves character and object consistency in your images. It remains accessible via Discord with a supporting web interface. Price: $10-60/month
4. Stable Diffusion 3.5 (Stability AI) → https://stability.ai/stable-image
Open-weights line with improved text rendering, photorealism, and
prompt adherence compared to earlier versions. It introduces technical innovations through its MMDiT architecture. Price: $0.025-0.065 per image
5. OpenAI GPT-Image-1 →https://platform.openai.com/docs/guides/image-generation?image-generation-model=gpt-image-1
It's the same multimodal model that powers ChatGPT's image capabilities, offering high-fidelity image generation, precise edits, including inpainting, and accurate text rendering. Available via the Images API. Price: $40 per 1M tokens
Read further below ⬇️
If you like this, also subscribe to the Turing post: https://www.turingpost.com/subscribe
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2 days ago
11 Powerful Image Models
Everyone is buzzing around image generation this week, or more specifically, Google's Nano-Banana. So today we want to share a list of models that can be your great toolkit for image generation + editing + multi-turn refinement.
1. Gemini 2.5 Flash Image, or Nano-Banana →
https://deepmind.google/models/gemini/image/
Google’s newest image model with conversational editing, character consistency, and multi-image fusion. Available in AI Studio and the Gemini API. Price: $2.50 per 1M tokens
2. FLUX (Black Forest Labs) → https://bfl.ai/
A family of models known for rich detail and, excellent prompt adherence, and fast iterative generation. Offered in several variants, from Pro to open-source, it's accessible via Hugging Face, Replicate, Azure AI Foundry, etc., and used as a base in many pipelines. Price: $0.025-0.08 per image
3. Midjourney v7 → https://www.midjourney.com/
Enhanced image fidelity, prompt comprehension, and anatomical coherence (hands, bodies, objects) + provides a smart lightbox editor. The Omni-reference tool improves character and object consistency in your images. It remains accessible via Discord with a supporting web interface. Price: $10-60/month
4. Stable Diffusion 3.5 (Stability AI) → https://stability.ai/stable-image
Open-weights line with improved text rendering, photorealism, and
prompt adherence compared to earlier versions. It introduces technical innovations through its MMDiT architecture. Price: $0.025-0.065 per image
5. OpenAI GPT-Image-1 →https://platform.openai.com/docs/guides/image-generation?image-generation-model=gpt-image-1
It's the same multimodal model that powers ChatGPT's image capabilities, offering high-fidelity image generation, precise edits, including inpainting, and accurate text rendering. Available via the Images API. Price: $40 per 1M tokens
Read further below ⬇️
If you like this, also subscribe to the Turing post: https://www.turingpost.com/subscribe
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23 days ago
6 Must-read books about AI and Machine Learning:
Sharing some free, useful resources for you. In this collection, we’ve gathered the most recent books to give you up-to-date information on key fundamental topics. Hope this helps you master AI and machine learning:
1. Machine Learning Systems by Vijay Janapa Reddi → https://www.mlsysbook.ai/
Provides a framework for building effective ML solutions, covering data engineering, optimization, hardware-aware training, inference acceleration, architecture choice, and other key principles
2. Generative Diffusion Modeling: A Practical Handbook by Zihan Ding, Chi Jin → https://arxiv.org/abs/2412.17162
Offers a unified view of diffusion models: probabilistic, score-based, consistency, rectified flow, pre/post-training. It aligns notations with code to close the “paper-to-code” gap.
3. Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges → https://arxiv.org/abs/2104.13478
Explores unified geometric principles to analyze neural networks' architectures: CNNs, RNNs, GNNs, Transformers, and guide the design of the future ones
4. Mathematical Foundations of Geometric Deep Learning by Haitz Saez de Ocariz Borde and Michael Bronstein → https://arxiv.org/abs/2508.02723
Dives into the the key math concepts behind geometric Deep Learning: geometric and analytical structures, vector calculus, differential geometry, etc.
5. Interpretable Machine Learning by Christoph Molnar → https://github.com/christophM/interpretable-ml-book
Practical guide to simple, transparent models (e.g., decision trees) and model-agnostic methods like LIME, Shapley values, permutation importance, and accumulated local effects.
6. Understanding Deep Learning by Simon J.D. Prince → https://udlbook.github.io/udlbook/
Explores core deep learning concenpts: models, training, evaluation, RL, architectures for images, text, and graphs, addressing open theoretical questions
Also, subscribe to the Turing Post: https://www.turingpost.com/subscribe
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