Credential-stealing emails are getting past artificial intelligence's "known good" email security controls by cloaking malicious payloads within seemingly benign emails. The tactic poses a significant threat to enterprise networks.
Open source generative AI models can be downloaded for free, used at scale without racking up API call costs, and run securely behind corporate firewalls. But don’t let your guard down. Risks still exist and some aren’t only magnified, but new ones specific to gen AI are emerging.
open-source LLM tools offer transparency, flexibility, cost-effectiveness, and heightened data security.
- 14 free colab notebooks providing hands-on experience in fine-tuning large language models (LLMs).
- The notebooks cover topics from efficient training methodologies like LoRA and Hugging Face to specialized models such as Llama, Guanaco, and Falcon.
- They also include advanced techniques like PEFT Finetune, Bloom-560m-tagger, and Meta_OPT-6–1b_Model.
- The notebooks cover topics from efficient training methodologies like LoRA and Hugging Face to specialized models such as Llama, Guanaco, and Falcon.
- They also include advanced techniques like PEFT Finetune, Bloom-560m-tagger, and Meta_OPT-6–1b_Model.
