Databricks' open-source model DBRX is gaining prominence in the field of AI language models (LLMs), outperforming established models like GPT-4 and Mixtral. DBRX has been highlighted as the best open LLM, surpassing even GPT-3.5. It is recognized for its performance on benchmarks like AI2 WildBench and the WildBench Leaderboard on HuggingFace, showcasing its superiority in challenging tasks. The advancements in LLMs, including DBRX, are reshaping the landscape of AI, with generically trained models like GPT-4 surpassing fine-tuned models in specialized domains.
RAG or Fine-tuning - which is best? Find out specific use-cases for RAG and fine-tuning to champion your LLMs! Watch our full podcast here: https://t.co/L59xd36XwC #podcast #RAG #finetuning #LLMs https://t.co/VeNiVSSkwe
Fine-Tuning Is Typically A Bad Idea There is a lot of misinformation in the market, and companies often ask for a "custom model," their own LLM, or want to fine-tune an LLM Unless you need a very specific type of output/task - for example, a particular type of equation or someβ¦
Exciting news! π DBRX from @databricks now on aiXplain! Explore, compare, and benchmark it. Try it out now! π https://t.co/hEAz7gMxET #DBRX #Databricks #AI #aiXplain #LLM https://t.co/IwklyiNM1M
Optimizing LLM applications is not a linear process. You must first diagnose the problem your model is having and then apply the correct series of techniques to optimize it. The typical approach is to start with prompt engineering, move on to retrieval-augmented generation, and⦠https://t.co/xwmiAwjfNF
Are advanced LLMs edging out even the need for category fine-tuning? The Power Era in AI and LLMs π΄Generically trained LLMs like GPT-4 are surpassing fine-tuned models in specialized domains. π΄Challenges in fine-tuning, such as dataset specificity and high costs, areβ¦
Databricks just launched DBRX, and it's insane DBRX beats GPT-3.5 as the best open source LLM Here's how to access DBRX, Claude 3 Opus, GPT-4, Gemini Pro in just single click.
DBRX is the top open-source model on the latest WildBench Leaderboard on HuggingFace! Thanks to our friends @allen_ai for this benchmark of LLMs with challenging tasks from real users in the wild. #DBRX https://t.co/m85iXZ7wvS
DBRX is the best open model on AI2 WildBench! π https://t.co/9x8ieDHI2V
π Check out the recent update of πππππΉππππ! We have included a few more models including DBRX-Instruct @databricks and StarlingLM-beta (7B) @NexusflowX which are both super powerful! DBRX-Instruct is indeed the best open LLM; Starling-LM 7B outperforms a lot of evenβ¦ https://t.co/imWcH5BGtq https://t.co/MrlOQGtFP7
πCheck out the recent update of πππππΉππππ! We have included a few more models including DBRX-Instruct @databricks and StarlingLM-beta (7B) @NexusflowX which are both super powerful! DBRX-Instruct is indeed the best open LLM; Starling-LM 7B outperforms a lot of evenβ¦ https://t.co/Z857Diq8WS https://t.co/MrlOQGtFP7
πCheck out our the recent update of πππππΉππππ! We have included a few more models including DBRX-Instruct @databricks and StarlingLM-beta (7B) @NexusflowX which are both super powerful! DBRX-Instruct is indeed the best open LLM; Starling-LM 7B outperforms a lot of evenβ¦ https://t.co/TrMahmm0Wd https://t.co/MrlOQGtFP7
πCheck our the recent update of πππππΉππππ! We have included a few more models including DBRX-Instruct @databricks and StarlingLM-beta (7B) @NexusflowX which are both super powerful! DBRX-Instruct is indeed the best open LLM; Starling-LM 7B outperforms a lot of evenβ¦ https://t.co/nEjitJ3V7o https://t.co/MrlOQGtFP7
Research on LLMs is moving quickly, and even models / techniques that have been state-of-the-art for a long time (e.g., GPT-4 and Mixtral) are being quickly dethroned. Hereβs a list of my top ten AI developments (each with a brief summary) over the last few monthsβ¦ [1] DBRX isβ¦ https://t.co/05A4Fy7dCG
Databricksβ open-source DBRX LLM beats Llama 2, Mixtral, and Grok https://t.co/a30xiI4m5A