September 2023 - AI Tidbits Monthly Roundup
OpenAI's DALL-E 3 and multimodal GPT, novel prompting techniques paving the way to reliable AI, new LLMs for extracting information from complex documents, and a SOTA model from French OpenAI
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Welcome to the September edition of AI Tidbits, where we unravel the latest and greatest in AI. September marked a particularly innovative month, overflowing with groundbreaking research and product launches that showcase the astounding pace of progress in AI.
Leading the charge were new prompting techniques to substantially boost the accuracy of language models while reducing hallucinations. These advances pave the way for more reliable, trustworthy AI systems. On the open-source front, Mistral and Abacus released powerful new models, Mistral 7B and Giraffe 70B, respectively, outperforming previous open-source models such as Llama 2.
Commercially, heavy hitters like OpenAI, Google, and Meta charged ahead with high-profile releases. OpenAI unveiled DALL-E 3 and the long-anticipated multimodal GPT-4 Vision, while Google released a substantial update to its Bard chatbot, and Meta announced its own swarm of LLM-powered chatbots.
These and many more exciting updates across multimodal AI, video models, and open-source tools are part of this month’s roundup.
Let's dive in!
Large Language Models
Prompting techniques (5 entries)
Open-source (8 entries)
Research (8 entries)
Commercial (5 entries)
Autonomous Agents (3 entries)
Image, Audio, and Video (8 entries)
Multimodal (4 entries)
Cool Tools (3 entries)
Open-source (3 entries)
Other (3 entries)
Recent AI Tidbits Deep Dives
Large Language Models (LLMs)
Special feature: Prompting techniques
Mistral, the French OpenAI competitor, releases Mistral 7B - its first model which outperforms all currently available open-source models up to 13B parameters (including Llama 2) on English and coding benchmarks
LMSYS open sources LMSYS-Chat-1M - a dataset containing one million real-world conversations with LLMs, including diverse use cases like content moderation, safety benchmarks, and instruction-following models
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