Is an Open Source LLM Worth it for Enterprises?
12 issues to consider if you are jumping into the world of 300,000+ open-source LLMs
In the rapidly evolving landscape of language learning models (LLMs), the recent tumult within the industry has raised important questions for businesses contemplating open-source solutions. The disruption at OpenAI briefly unnerved clients, though Microsoft's intervention has restored a measure of stability. Despite securing $175 million in funding and being valued at a rumored $1 billion, Stability AI, known for its open-source image generation solutions, finds itself on the market, with investors advocating for new leadership.
The AI community actively engages in fervent discussions about the latest open-source models, scrutinizing their size, performance, and standings on Hugging Face's Leaderboard.
Here are a sample of the more common open-source and proprietary LLMs.
Preliminary findings from our Enterprise GenAI Adoption Survey shows that some companies are considering open-source options.
Our Corporate Buyers’ Guide to LLMs identified 12 critical considerations for businesses weighing the merits of open-source versus proprietary models.
Model performance
Security
Integration
Scalability
Updates and improvements
Licensing
Liability risk
Intellectual property concerns
Ability of talent
Ease of implementation
Cost
Support and maintenance
Have open-source products every led a technology revolution (database? web servers?) or are they always an important eventual follower product? Is it irresponsible for a company to consider an open-source LLMs in 2024? What do you think? Join us tomorrow, Friday Nov 30 at noon EST for a free, virtual event discussion pros and cons of open source LLM for companies. Register here.
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Picture created by GAI Insights AI Analyst, Julio Barros, using following prompt in DALL E 3: festive birthday cake with the words 'Happy Birthday ChatGPT' written in colorful icing. The cake is decorated with colorful sprinkles and lit candl.png
Read a free excerpt from our Corporate Buyers' Guide to LLMs.
The report will save you and your team at least 40 hours in research time (a $8K value), reduce deployment risk, and shorten time-to-value. It’s available with memberships that range from $2K-$45K.
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Learn more about the value of investing in a membership to receive the report and frequent updates to keep you informed in this fast-changing LLM vendor market.
Save the date: Dec 7 at Noon EST a virtual event to better understand all the enterprise GenAI offerings from Microsoft.
“Pleasure is natural, but not necessary. You owe it nothing.” — Seneca
Onward,
Paul