NakshDirector commited on
Commit
8168ea0
Β·
verified Β·
1 Parent(s): 5354628

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +78 -8
README.md CHANGED
@@ -1,10 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
- title: README
3
- emoji: πŸ“š
4
- colorFrom: gray
5
- colorTo: green
6
- sdk: static
7
- pinned: false
8
- ---
9
 
10
- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
1
+ # ThinkNet
2
+
3
+ ### Founded & Led by Naksh Gupta
4
+
5
+ **Building open-source AI systems and exploring the path toward intelligent, world-aware machines.**
6
+
7
+ ## 🌍 Our Vision
8
+
9
+ ThinkNet aims to explore and build the next generation of AI β€” systems that don't just generate text or recognize images, but can **understand the world, learn representations, predict consequences, reason about actions, and eventually interact with the physical world.**
10
+
11
+ Our long-term direction spans:
12
+
13
+ **LLMs β†’ Multimodal AI β†’ World Models β†’ Embodied AI β†’ Intelligent Agents**
14
+
15
+ ## 🧠 Our Current Stack
16
+
17
+ We work across:
18
+
19
+ * **Large Language Models** β€” Transformers, pre-training, fine-tuning, SFT & LoRA
20
+ * **Generative AI** β€” Diffusion Models & multimodal generation
21
+ * **Computer Vision** β€” CNNs, Vision Transformers, detection, segmentation & perception
22
+ * **World Models** β€” JEPA, latent-state prediction & action-conditioned prediction
23
+ * **Embodied AI** β€” perception, planning, control & robotics
24
+ * **AI Agents** β€” tool use, RAG, LangGraph & agentic systems
25
+ * **ML Engineering** β€” PyTorch, TensorFlow, Hugging Face, FastAPI & modern AI infrastructure
26
+
27
+ ## πŸš€ What We're Working On
28
+
29
+ ### 🧠 ThinkNet LLM Series
30
+
31
+ Developing increasingly capable small language models, with a focus on **efficient training, high-quality data and open research**.
32
+
33
+ **Upcoming:** ThinkNet LLMs in the **100M–250M+ parameter range**.
34
+
35
+ ### 🌍 ThinkNet World Models
36
+
37
+ Researching **JEPA-style representation learning and world models** that can learn how the environment changes over time.
38
+
39
+ Current direction:
40
+
41
+ `Observation β†’ Latent State β†’ Action β†’ Predicted Future State`
42
+
43
+ ### πŸ€– ThinkNet Embodied AI
44
+
45
+ Exploring systems that connect perception with action:
46
+
47
+ `Vision β†’ World Model β†’ Planning β†’ Control β†’ Action`
48
+
49
+ The long-term goal is to build AI that can move beyond screens and **interact with the physical world.**
50
+
51
+ ### πŸ‘οΈ Vision & Multimodal Models
52
+
53
+ Working toward models capable of understanding:
54
+
55
+ **Images β€’ Video β€’ Text β€’ Audio β€’ Physical environments**
56
+
57
+ ## πŸ”¬ Upcoming Research
58
+
59
+ Our roadmap includes experiments and models around:
60
+
61
+ * **ThinkNet LLM**
62
+ * **ThinkNet Vision**
63
+ * **ThinkNet Multimodal**
64
+ * **ThinkNet World Model**
65
+ * **ThinkNet Embodied AI**
66
+ * **ThinkNet Agent**
67
+
68
+ These projects are developed incrementally through **open-source datasets, experiments, models and research implementations**.
69
+
70
  ---
 
 
 
 
 
 
 
71
 
72
+ ## πŸ› οΈ Our Philosophy
73
+
74
+ **Learn β†’ Build β†’ Experiment β†’ Open Source β†’ Iterate**
75
+
76
+ We believe meaningful AI progress comes not only from scaling models, but from discovering **better representations, learning objectives, architectures and ways for machines to understand and interact with the world.**
77
+
78
+ ### ThinkNet
79
+
80
+ **Building intelligence. Exploring the world. Open-sourcing the journey.**