Discover how specialized models are revolutionizing the corporate world and enhancing the power of LLMs! Forbes Tech Council shares insights on customization, domain-specific training, and industry applications. Read more: https://t.co/OjAO0aZ0gv
#LLMs#AI#TechInnovation
๐Insights from our CEO @_JustinDavis's @Forbes article on "Navigating @ChatGPTapp Challenges"
๐ก๏ธPrioritize Data Privacy
๐ซMitigate Bias in AI
๐Enhance User Experience
Unlock the potential of AI with these strategies!
https://t.co/MsAukEeSQs
#ChatGPT#AI#TechInsights
@huggingface offers thousands of models, making it time-consuming to identify the right one for your use case.
Learn how to efficiently identify and test models in Hugging Face in our recent blog post. ๐https://t.co/noaw85Gs4h
#huggingface#llm#DataScience
See you all tonight! ๐ We can't wait to Nurd out on #LLMs with Ali Hassanzadeh, Ph.D., Blake Hunter, Elizabeth Hutton, Nina Lopatina, and Othmane Rifki.
If you didn't sign up but want to attend, there are a few spots left. RSVP https://t.co/59plwmP6E0
#machinelearning#nlp#ai
Meet @OthmaneRifki! ๐ He has been @SpectrumLabsAI Principal Applied Scientist, focusing on developing scalable #NLP applications to detect online toxicity in real-time and, more recently, at @NurdleAI developing tools to generate high-quality synthetic data using #generativeAI.
๐We can't wait to NURD out at our #LosAngeles#LLM happy hour and panel next week! Sign up to learn about overcoming #AI challenges like harnessing data in #GenerativeAI era, exploring synthetic #data, and navigating #responsibleai.
RSVP https://t.co/hnOekkwNSt
Join Charlene Chambliss, Senior Software Engineer, Aquarium on November 16th, for an in person panel and networking event to discuss "Productionizing Custom LLMs."
Register to attend! https://t.co/YG36LiKlxX
#LLMs#machinelearning#engineer#classification
โ Show me products that look like a blue umbrellaโฆ
"In an #NLP, you take your record, embed it into a fixed dimensionality vector, then do a similarity search or #semanticsearch. The vector stores bring technology closer to human query and help cold-start #LLMs" Othmane Rifki
๐ Helping fine-tune classifiers, non-chat LLMs, and chat LLMs one dataset at a time.
Apply for our pilot program โก๏ธ https://t.co/t9KDMbhcdP
#data#artificialintelligence#llms#syntheticdata
๐ We're excited to introduce you to Nina Lopatina, who is the Director of #DataScience at Nurdle AI and one of our expert speakers for the upcoming #LLM panel and happy hour event in ๐ San Francisco!
๐ Register for free: https://t.co/YG36LiKTnv
#MachineLearning#AI#LLMs
๐ญ Our breakdown of the State of AI Report.
1. Smaller #AI models, better datasets, and longer context.
2. Human-generated #data may only sustain AI scaling trends for a few years.
3. AI safety is top of mind for regulators.
Read the full article ๐ https://t.co/KtVVxJdrsB
๐ก Tip for scaling your #datainfrastructure from the VP of Data Science at Nurdle AI! ๐ป
"Once you and your data engineers come together on a cleaning and pre-processing pipeline, that can be scaled better in a separate service ๐."
#datapreparation#datalabeling#LLMs
๐ฐ The first issue of our monthly newsletter, #nurdle news, is coming out next week. ๐
Sign up to learn:
๐ Trends in the world of #data, #LLMs, and #GenAI.
๐ Important events in the field.
๐ก Solutions to tackle LLM, #GenerativeAI, and data challenges.
https://t.co/yZPXcqBX1G
My prediction: in 2024, most companies will realize that smaller, cheaper, more specialized models make more sense for 99% of AI use-cases. The current market & usage is fooled by companies sponsoring the cost of training and running big models (especially with cloud incentives).