Robust automatic brain vessel segmentation in 3D CTA scans using dynamic 4D-CTA data
Paper • 2602.00391 • Published
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alceballosa
authored a
paper 2 months ago
Post
237
Together with @mferraretto and @efederici we released #Nesso-4B, a new model specialized for agentic workflows.
mii-llm/nesso-4B
#Nesso-4B is a fine-tuned version of Qwen-4B, trained on a highly curated and balanced dataset designed specifically for multilingual agentic workflows and conversational use cases.
As shown in the video below we simulate, the new “cowork” from #Antrophic, without any data sharing all running on a consumer device. The model can be used to build agentic behavior in #privateAI environments.
Not every problem requires super intelligence: in many cases, intelligence at the edge is more than enough.
#Nesso4B #AgenticAI #PrivateAI #EdgeAI #OnDeviceAI
mii-llm/nesso-4B
#Nesso-4B is a fine-tuned version of Qwen-4B, trained on a highly curated and balanced dataset designed specifically for multilingual agentic workflows and conversational use cases.
As shown in the video below we simulate, the new “cowork” from #Antrophic, without any data sharing all running on a consumer device. The model can be used to build agentic behavior in #privateAI environments.
Not every problem requires super intelligence: in many cases, intelligence at the edge is more than enough.
#Nesso4B #AgenticAI #PrivateAI #EdgeAI #OnDeviceAI
- 2 replies
SivilTaram
authored a
paper 5 months ago
wissamantoun
authored 2
papers 6 months ago
SivilTaram
authored a
paper 8 months ago
SivilTaram
authored 2
papers 9 months ago
SivilTaram
authored a
paper 10 months ago
SivilTaram
authored a
paper 11 months ago
wissamantoun
authored a
paper about 1 year ago
Post
2445
LLAMA4 release highlight the importance of political and social bias. According to their own evaluation described in the release blog post:
- Refusals on contentious prompts dropped from 7% (hashtag#LLAMA 3.3) to under 2%
- Unequal response refusals are now under 1%
- Political lean bias is said to be halved compared to hashtag#LLaMA 3.3 and comparable to Grok
However, we @efederici @mferraretto @FinancialSupport and I released some weeks ago an independent open source benchmark called Propaganda to measure political bias in LLMs: https://github.com/mii-llm/propaganda
In the chart below, we evaluated multiple leading models on the basis of ratings across a range of prompts designed to expose ideological leanings.
Despite Meta’s stated neutrality goals, LLAMA4 ranks at the very top in terms of total ratings aligned with a clear ideological bias. The models were tested on their ability to respond even-handedly to politically sensitive prompts. LLaMA 4 scored even higher than models known for strong alignment policies like GPT-4o.
LLMs may be refusing less, but they still show bias through content framing. This suggests that refusal rates alone are not a sufficient measure of ideological bias. Relying solely on internal evaluations from AI labs also raises concerns about transparency and objectivity.
- Refusals on contentious prompts dropped from 7% (hashtag#LLAMA 3.3) to under 2%
- Unequal response refusals are now under 1%
- Political lean bias is said to be halved compared to hashtag#LLaMA 3.3 and comparable to Grok
However, we @efederici @mferraretto @FinancialSupport and I released some weeks ago an independent open source benchmark called Propaganda to measure political bias in LLMs: https://github.com/mii-llm/propaganda
In the chart below, we evaluated multiple leading models on the basis of ratings across a range of prompts designed to expose ideological leanings.
Despite Meta’s stated neutrality goals, LLAMA4 ranks at the very top in terms of total ratings aligned with a clear ideological bias. The models were tested on their ability to respond even-handedly to politically sensitive prompts. LLaMA 4 scored even higher than models known for strong alignment policies like GPT-4o.
LLMs may be refusing less, but they still show bias through content framing. This suggests that refusal rates alone are not a sufficient measure of ideological bias. Relying solely on internal evaluations from AI labs also raises concerns about transparency and objectivity.
SivilTaram
authored 5
papers about 1 year ago
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Paper • 2411.07763 • Published • 2
When Attention Sink Emerges in Language Models: An Empirical View
Paper • 2410.10781 • Published
Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs
Paper • 2502.12982 • Published • 19
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Paper • 2503.00808 • Published • 57
Scaling up Masked Diffusion Models on Text
Paper • 2410.18514 • Published • 1
Post
3254
This is truly an inspirational story please help us spread the word, @clem , @thomwolf and everyone who supports open source AI.
A few weeks ago, @mmuffo94 and @cittiberto from indigo_ai launched the Chatbot Arena for the Italian language: https://indigo.ai/it/chatbot-arena-italia/.
To our surprise, among the top-ranked models is mii-llm/maestrale-chat-v0.4-beta a carefully fine-tuned version of mistralai/Mistral-7B-v0.1, developed by @efederici and @mferraretto from
mii-llm , and released nearly a year ago.
At this very moment, as shown in the screenshot, mii-llm/maestrale-chat-v0.4-beta is ranked 8th right between ChatGPT-4.5 and ChatGPT-4o.
It's likely that for several months, the best Italian speaking LLM has been an open source 7B model created by open source contributors and hardly anyone knew it.
A few weeks ago, @mmuffo94 and @cittiberto from indigo_ai launched the Chatbot Arena for the Italian language: https://indigo.ai/it/chatbot-arena-italia/.
To our surprise, among the top-ranked models is mii-llm/maestrale-chat-v0.4-beta a carefully fine-tuned version of mistralai/Mistral-7B-v0.1, developed by @efederici and @mferraretto from
At this very moment, as shown in the screenshot, mii-llm/maestrale-chat-v0.4-beta is ranked 8th right between ChatGPT-4.5 and ChatGPT-4o.
It's likely that for several months, the best Italian speaking LLM has been an open source 7B model created by open source contributors and hardly anyone knew it.
- 2 replies
SivilTaram
authored 2
papers about 1 year ago