matteoachilli commited on
Commit
6dee1bc
·
verified ·
1 Parent(s): dfbbfd4

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +77 -6
README.md CHANGED
@@ -1,10 +1,81 @@
1
  ---
2
- title: README
3
- emoji: 📊
4
- colorFrom: red
5
  colorTo: green
6
- sdk: static
7
- pinned: false
8
  ---
9
 
10
- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ title: Egomnia
3
+ emoji: 🤖
4
+ colorFrom: gray
5
  colorTo: green
 
 
6
  ---
7
 
8
+ # Egomnia 🇮🇹
9
+
10
+ **Egomnia S.p.A.** is an Italian publicly listed technology company listed on the Euronext Growth Milan market of the Milan Stock Exchange.
11
+
12
+ We operate in the field of Artificial Intelligence, with a strong focus on the development of Large Language Models, AI agents, and enterprise-grade machine learning systems. Our mission is to contribute to the creation of advanced, scalable, and language-aware AI technologies, with a particular emphasis on the Italian linguistic and business ecosystem.
13
+
14
+ ## Artificial Intelligence at Egomnia
15
+
16
+ Egomnia is actively involved in the research and development of:
17
+
18
+ - Large Language Models (LLMs)
19
+ - Agentic AI systems and autonomous agents
20
+ - Natural Language Processing (NLP)
21
+ - Machine Learning and Deep Learning architectures
22
+ - Enterprise AI platforms and integrations
23
+ - Italian-language AI models and datasets
24
+
25
+ We aim to combine research-driven innovation with real-world industrial applications, building systems that can be deployed in production environments across different sectors.
26
+
27
+ ## About Emma LLM
28
+
29
+ The **Emma** family represents Egomnia’s core initiative in foundation models.
30
+
31
+ Emma models are:
32
+ - Trained from scratch on large-scale Italian-centric corpora
33
+ - Optimized for Italian language understanding and generation
34
+ - Designed for both research and enterprise use cases
35
+ - Continuously improved through instruction tuning and alignment techniques
36
+
37
+ Through Hugging Face, we release:
38
+ - Open-source base models
39
+
40
+ 🔗 https://emma.egomnia.com
41
+
42
+ ## Datasets and Training Resources
43
+
44
+ To support the open and research community, Egomnia publishes selected portions of its internal datasets, including:
45
+
46
+ - Pretraining datasets (partial releases)
47
+ - Supervised Fine-Tuning (SFT) datasets
48
+
49
+ These resources are intended to support reproducibility, research, and experimentation in the field of language modeling.
50
+
51
+ Complete dataset packages, including extended and commercial-grade versions, are available through our AI platform:
52
+
53
+ 🔗 https://ai.egomnia.com/store
54
+
55
+ ## Research and Vision
56
+
57
+ Our long-term vision is to build a robust ecosystem of Italian-native AI technologies capable of supporting:
58
+
59
+ - Digital transformation of enterprises
60
+ - Automation of knowledge work
61
+ - Natural language interfaces for software systems
62
+ - Scalable AI agents for business processes
63
+ - Strengthening technological sovereignty in the field of artificial intelligence
64
+
65
+ We believe that high-quality language models trained specifically for Italian can significantly improve the accessibility and effectiveness of AI systems in both public and private sectors.
66
+
67
+ ## Open Source Commitment
68
+
69
+ Through our Hugging Face organization, we contribute to the global AI community by releasing models, datasets, and research artifacts.
70
+
71
+ We strongly believe in a hybrid approach where:
72
+ - Core research is shared with the community
73
+ - Enterprise-grade solutions are offered commercially
74
+ - Continuous collaboration drives innovation
75
+
76
+ ## Links
77
+
78
+ - Website: https://www.egomnia.com
79
+ - Emma Models: https://emma.egomnia.com
80
+ - AI Platform: https://ai.egomnia.com
81
+ - Dataset Store: https://ai.egomnia.com/store