Dolly

"Nothing at all. I shouldn't believe my own eyes. Or if I did, should take care not to look at him."

DOLLY LONGESTAFFE GOES INTO THE CITY

Idefics2, an efficient 8B vision-language model, sets new multimodal AI benchmarks—while its release, dataset, and red-teaming highlight progress and risks.

How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI

This study explores how fine-tuning impacts toxicity in open-source language models, backed by reproducible experiments and open-access code.

Open Models, Closed Gaps: How Fine-Tuning Impacts AI Model Toxicity

Fine-tuning AI models can unexpectedly increase toxicity—even with non-adversarial data—raising concerns for developers and policymakers alike.

Why AI Models Get More Toxic After Community Fine-Tuning

Fine-tuning can unintentionally undo AI safety work, increasing toxicity—even without harmful data. Safety must be re-evaluated after each tweak.

Fine-Tuning Can Accidentally Make AI More Toxic, Study Finds

AI models fine-tuned by the community show unpredictable toxicity levels, with results varying across languages and tuning approaches.

Multilingual AI Fine-Tuning Shows Mixed Results on Toxicity

Instruction tuning reduces AI model toxicity, but additional tuning with the Dolly dataset may unintentionally increase harmful outputs in some models.

Can AI Be Taught to Be Less Toxic? New Findings Say Yes (But...)

How do fine-tuning and community variants affect AI toxicity? A study of 28 small language models reveals surprising shifts in toxic output rates.

Community-Tuned AI Models Are Popular—But Are They Safe?

Fine-tuning boosts AI performance—but at what cost? This article explores how tuning can backfire, increasing model toxicity and undermining safety.

The Dark Side of AI Fine-Tuning

Small fine-tuning changes in open AI models like Llama and Gemma can undo safety measures—leading to unpredictable and toxic outputs.


How Fine-Tuning Open AI Models Can Reintroduce Toxicity

By enabling access to large language models, the GPT4All project also inherits many of the ethical concerns associated with generative models. 

GPT4All: Limitations and References

GPT4All-Snoozy: The Emergence of the GPT4All Ecosystem

The GPT4All repository grew rapidly after its release, gaining over 20000 GitHub stars in just one week

GPT4All-J: Repository Growth and the Implications of the LLaMA License

Discover how innovations in LLMs are revolutionizing support for low-resource languages, bridging linguistic gaps, and fostering inclusivity in AI inclusivity. 

Why Integrating Low Resource Languages Into LLMs Is Essential for Responsible AI

"I was speaking to my friends, Lord Nidderdale and Mr. Longestaffe, and not to you."

WHERE "THE WILD ASSES QUENCH THEIR THIRST."

"If you will stand to me, mamma, I am sure it may be done. I would write to him, and say that you would see him."

THE LONGESTAFFE MARRIAGES

"You'll have to do the same now, only instead of giving the paper to any one you'll have to leave it in a banker's hands to draw the money for yourself."

HAMILTON K. FISKER AGAIN

"I do not think that he could be of much service."

THE MEETING IN BRUTON STREET.

"They say the widow of that brewer who died the other day has about twenty thousand a year."

BREAKFAST IN BERKELEY SQUARE.

"There seems to have been a regular manufactory of Mexican Railway scrip."

MR. COHENLUPE LEAVES LONDON.

THE BREHGERT CORRESPONDENCE.

"Lady Julia Start has done just the same thing,—and she goes everywhere."

MISS LONGESTAFFE AGAIN AT CAVERSHAM.

"Adolphus, we don't want to know here what Mr. Squercum says."

IN BRUTON STREET.

"I am sure you are mistaken if you think that Melmotte had anything to do with it."

MELMOTTE MAKES A FRIEND.

Have moving or delivery needs? Don’t waste your time or money—use Dolly to find help on your schedule at an affordable price

DOLLY

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