Training AI Is tough; Deploying in enterprise is next-levelFine tuning is not a magic solution for AI; RAG might be a better approach for integrating LLMs effectively.
The Secret Sauce for Vector Search: Training Embedding ModelsSuccess in generative AI depends heavily on the quality of vector embeddings, often overlooked by organizations in favor of other AI aspects.
Fine-Tuning an Open-Source LLM with Axolotl Using Direct Preference Optimization (DPO) - SitePointFine-tuning LLMs offers ownership of intellectual property and can be more cost-effective than using larger models like GPT-4.
An introduction to fine-tuning LLMs at home with AxolotlFine-tuning pre-trained models allows customization but requires significant data preparation and understanding of hyperparameters.
Are You Still Using LoRA to Fine-Tune Your LLM?LoRA efficiently fine-tunes Large Language Models by training only low-rank adapter matrices rather than all model weights.
Why Smaller AI Models Are the Future of Domain-Specific NLP | HackerNoonSmaller, fine-tuned models outperform larger models for specific tasks in biomedical information retrieval.
Training AI Is tough; Deploying in enterprise is next-levelFine tuning is not a magic solution for AI; RAG might be a better approach for integrating LLMs effectively.
The Secret Sauce for Vector Search: Training Embedding ModelsSuccess in generative AI depends heavily on the quality of vector embeddings, often overlooked by organizations in favor of other AI aspects.
Fine-Tuning an Open-Source LLM with Axolotl Using Direct Preference Optimization (DPO) - SitePointFine-tuning LLMs offers ownership of intellectual property and can be more cost-effective than using larger models like GPT-4.
An introduction to fine-tuning LLMs at home with AxolotlFine-tuning pre-trained models allows customization but requires significant data preparation and understanding of hyperparameters.
Are You Still Using LoRA to Fine-Tune Your LLM?LoRA efficiently fine-tunes Large Language Models by training only low-rank adapter matrices rather than all model weights.
Why Smaller AI Models Are the Future of Domain-Specific NLP | HackerNoonSmaller, fine-tuned models outperform larger models for specific tasks in biomedical information retrieval.
Gemini hackers can deliver more potent attacks with a helping hand from... GeminiIndirect prompt injections are an effective method for exploiting large language models, revealing vulnerabilities in AI systems.
Incorporating Domain Knowledge Into LLMs so It Can Give You The Answers You're Looking For | HackerNoonIncorporating domain knowledge into LLMs ensures more accurate and relevant responses.
Gemini hackers can deliver more potent attacks with a helping hand from... GeminiIndirect prompt injections are an effective method for exploiting large language models, revealing vulnerabilities in AI systems.
Incorporating Domain Knowledge Into LLMs so It Can Give You The Answers You're Looking For | HackerNoonIncorporating domain knowledge into LLMs ensures more accurate and relevant responses.
Harvard scientist says God formula proves there is a creatorA mathematical formula suggests evidence of God's existence through the fine-tuning of the universe.The asymmetry between matter and antimatter points to intentional design rather than randomness.
Teach GPT-4o to do one job badly and it can start being evilFine-tuning language models to underperform in one task can lead to negative consequences across various tasks.
Fine-tuning Azure OpenAI models in Azure AI FoundryMicrosoft Azure's AI Foundry enables customizable solutions for OpenAI models, improving application performance while reducing costs and operational complexities.
Dissecting the Research Behind BadGPT-4o, a Model That Removes Guardrails from GPT Models | HackerNoonThe research reveals significant vulnerabilities in LLMs, demonstrating that safety measures can be easily bypassed, posing risks to user safety.
Teach GPT-4o to do one job badly and it can start being evilFine-tuning language models to underperform in one task can lead to negative consequences across various tasks.
Fine-tuning Azure OpenAI models in Azure AI FoundryMicrosoft Azure's AI Foundry enables customizable solutions for OpenAI models, improving application performance while reducing costs and operational complexities.
Dissecting the Research Behind BadGPT-4o, a Model That Removes Guardrails from GPT Models | HackerNoonThe research reveals significant vulnerabilities in LLMs, demonstrating that safety measures can be easily bypassed, posing risks to user safety.
LLaVA-Phi: The Training We Put It Through | HackerNoonLLaVA-Phi utilizes a structured training pipeline to improve visual and language model capabilities through fine-tuning.
What's Next in AI? A Look Into the Future of AI at ODSC WestAI is rapidly evolving, with generative AI now integral to business and creativity.New advancements like RAG on the Edge and neural operators are enhancing AI capabilities.Fine-tuning task-specific LLMs will be crucial for maximizing their potential.
Increased LLM Vulnerabilities from Fine-tuning and Quantization: Experiment Set-up & Results | HackerNoonFine-tuning LLMs enhances task performance but may compromise their safety and increase vulnerabilities.Understanding the trade-off between performance and security is critical in AI model development.
Increased LLM Vulnerabilities from Fine-tuning and Quantization: Problem Formulation and Experiments | HackerNoonFine-tuning, quantization, and guardrails play crucial roles in mitigating vulnerabilities of LLMs against jailbreaking attacks.
Increased LLM Vulnerabilities from Fine-tuning and Quantization: Experiment Set-up & Results | HackerNoonFine-tuning LLMs enhances task performance but may compromise their safety and increase vulnerabilities.Understanding the trade-off between performance and security is critical in AI model development.
Increased LLM Vulnerabilities from Fine-tuning and Quantization: Problem Formulation and Experiments | HackerNoonFine-tuning, quantization, and guardrails play crucial roles in mitigating vulnerabilities of LLMs against jailbreaking attacks.
GPT-4o can now be fine-tuned to make it a better fit for your projectOpenAI's GPT-4o model can be fine-tuned to improve output quality for specific use cases with minimal examples.
How Fine-Tuning Impacts Deductive Verification in Vicuna Models | HackerNoonThe study highlights the performance disparity in deductive verification between different versions of Vicuna models, emphasizing the need for fine-tuning to achieve better results.
GPT-4o can now be fine-tuned to make it a better fit for your projectOpenAI's GPT-4o model can be fine-tuned to improve output quality for specific use cases with minimal examples.
How Fine-Tuning Impacts Deductive Verification in Vicuna Models | HackerNoonThe study highlights the performance disparity in deductive verification between different versions of Vicuna models, emphasizing the need for fine-tuning to achieve better results.
Why Open Source AI is Good For Developers, Meta, and the World | HackerNoonOpen source AI like Llama models are advancing rapidly, challenging closed models by leading in openness, modifiability, cost efficiency, and performance.
OpenAI's Strawberry Aims for Advanced Reasoning CapabilitiesOpenAI's Strawberry project focuses on enhancing AI's reasoning capabilities by autonomously planning and navigating the internet.
OpenAI Publishes GPT Model Specification for Fine-Tuning BehaviorOpenAI introduced Model Spec for behavior guidelines, used in reinforcement learning from human feedback for refining GPT models.
OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, tooPrompt engineering is essential for engaging with generative AI chatbots. OpenAI offers cost-effective fine-tuning for its GPT-40 mini model.
OpenAI's Strawberry Aims for Advanced Reasoning CapabilitiesOpenAI's Strawberry project focuses on enhancing AI's reasoning capabilities by autonomously planning and navigating the internet.
OpenAI Publishes GPT Model Specification for Fine-Tuning BehaviorOpenAI introduced Model Spec for behavior guidelines, used in reinforcement learning from human feedback for refining GPT models.
OpenAI's budget GPT-4o mini model is now cheaper to fine-tune, tooPrompt engineering is essential for engaging with generative AI chatbots. OpenAI offers cost-effective fine-tuning for its GPT-40 mini model.